-
1
-
-
0002110806
-
Applying integer linear programming to the fleet assignment problem
-
39, 41
-
Jeph Abara. Applying integer linear programming to the fleet assignment problem. INTERFACES, 19(4), 1989. DOI: 10.1287/inte.19.4.20. 39, 41
-
(1989)
INTERFACES
, vol.19
, Issue.4
-
-
Abara, J.1
-
2
-
-
0031605774
-
Active disks: Programming model, algorithms, and evaluation
-
March 73
-
Anurag Acharya, Mustafa Uysal, and Joel H. Saltz. Active disks: Programming model, algorithms, and evaluation. In Proc. of Conference on Architectural Support for Programming Languages and Operating Systems, March 1998. DOI: 10.1145/384265.291026. 73
-
(1998)
Proc. of Conference on Architectural Support for Programming Languages and Operating Systems
-
-
Acharya, A.1
Uysal, M.2
Saltz, J.H.3
-
3
-
-
20844435854
-
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
-
23
-
G. Adomavicius and A. Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6):734-749, 2005. DOI: 10.1109/TKDE.2005.99. 23
-
(2005)
IEEE Transactions on Knowledge and Data Engineering
, vol.17
, Issue.6
, pp. 734-749
-
-
Adomavicius, G.1
Tuzhilin, A.2
-
4
-
-
0347718066
-
Yu, and Jong Soo Park. Fast algorithms for projected clustering
-
16
-
Charu C. Aggarwal, Cecilia Procopiuc, Joel L. Wolf, Philip S. Yu, and Jong Soo Park. Fast algorithms for projected clustering. In Proc. of the 1999 ACM SIGMOD Intl. Conf. on Management of Data, pages 61-72, 1999. DOI: 10.1145/304182.304188. 16
-
(1999)
Proc. of the 1999 ACM SIGMOD Intl. Conf. on Management of Data
, pp. 61-72
-
-
Aggarwal, C.C.1
Procopiuc, C.2
Wolf, J.L.3
Philip, S.4
-
6
-
-
0027621699
-
Mining association rules between sets of items in large database
-
18, 19, 20
-
Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. Mining association rules between sets of items in large database. In Proc. of the 1993 ACM SIGMOD Conference, pages 207-216, 1993. DOI: 10.1145/170035.170072. 18, 19, 20
-
(1993)
Proc. of the 1993 ACM SIGMOD Conference
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
7
-
-
0032090765
-
Automatic subspace clustering of high dimensional data for data mining applications
-
16
-
Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, and Prabhakar Raghavan. Automatic subspace clustering of high dimensional data for data mining applications. In Procs. of the 1998 ACM SIGMOD Intl. Conf. on Management of Data, pages 94-105, 1998. DOI: 10.1145/276304.276314. 16
-
(1998)
Procs. of the 1998 ACM SIGMOD Intl. Conf. on Management of Data
, pp. 94-105
-
-
Agrawal, R.1
Gehrke, J.2
Gunopulos, D.3
Raghavan, P.4
-
9
-
-
33644921425
-
Configurable string matching hardware for speeding up intrusion detection
-
March 58
-
Monther Aldwairi, Thomas Conte, and Paul Franzon. Configurable string matching hardware for speeding up intrusion detection. ACM SIGARCH Computer Architecture News, 33(1), March 2005. DOI: 10.1145/1055626.1055640. 58
-
(2005)
ACM SIGARCH Computer Architecture News
, vol.33
, Issue.1
-
-
Aldwairi, M.1
Conte, T.2
Franzon, P.3
-
10
-
-
84949221689
-
Spectral techniques in graph algorithms
-
46
-
N. Alon. Spectral techniques in graph algorithms. Lecture Notes in Computer Science 1380, pages 206-215, 1998. DOI: 10.1007/BFb0054322. 46
-
(1998)
Lecture Notes in Computer Science 1380
, pp. 206-215
-
-
Alon, N.1
-
11
-
-
0010942406
-
-
11th ed Cengage Learning, 9, 41
-
David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, and R. Kipp Martin. Quantitative Methods for Business, 11th ed. Cengage Learning, 2009. 9, 41
-
(2009)
Quantitative Methods for Business
-
-
Anderson, D.R.1
Sweeney, D.J.2
Williams, T.A.3
Camm, J.D.4
Kipp Martin, R.5
-
12
-
-
37549058056
-
Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
-
18
-
Alexandr Andoni and Piotr Indyk. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Communications of the ACM, 51(1):117-122, 2008. DOI: 10.1145/1327452.1327494. 18
-
(2008)
Communications of the ACM
, vol.51
, Issue.1
, pp. 117-122
-
-
Andoni, A.1
Indyk, P.2
-
14
-
-
0042414012
-
Business applications of data mining
-
August 9
-
Chidanand Apte, Bing Liu, Edwin Pednault, and Padhraic Smyth. Business applications of data mining. Communications of the ACM, 45(8), August 2002. DOI: 10.1145/545151.545178. 9
-
(2002)
Communications of the ACM
, vol.45
, Issue.8
-
-
Apte, C.1
Liu, B.2
Pednault, E.3
Smyth, P.4
-
15
-
-
2642517731
-
UPS optimizes its air network
-
January-February 2, 9, 41
-
Andrew P. Armacost, Cynthia Barnhart, Keith A. Ware, and Alysia M. Wilson. UPS Optimizes Its Air Network. Interfaces, 34(1), January-February 2004. DOI: 10.1287/inte.1030.0060. 2, 9, 41
-
(2004)
Interfaces
, vol.34
, Issue.1
-
-
Armacost, A.P.1
Barnhart, C.2
Ware, K.A.3
Wilson, A.M.4
-
16
-
-
84985984403
-
Hashi: An application specific instruction set extension for hashing
-
August. 66
-
Oliver Arnold, Sebastian Haas, Gerhard Fettweis, Benjamin Schlegel, Thomas Kissinger, Tomas Karnagel, and Wolfgang Lehner. Hashi: An application specific instruction set extension for hashing. In Proc. of ADMS'14, Fifth International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures, August 2014. 66
-
(2014)
Proc. of ADMS'14, Fifth International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures
-
-
Arnold, O.1
Haas, S.2
Fettweis, G.3
Schlegel, B.4
Kissinger, T.5
Karnagel, T.6
Lehner, W.7
-
17
-
-
0032201716
-
An optimal algorithm for approximate nearest neighbor searching in fixed dimensions
-
17, 18
-
Sunil Arya, David M. Mount, Nathan S. Netanyahu, Ruth Silverman, and Angela Y. Wu. An optimal algorithm for approximate nearest neighbor searching in fixed dimensions. Journal of the ACM, 45(6):891-923, 1998. DOI: 10.1145/293347.293348. 17, 18
-
(1998)
Journal of the ACM
, vol.45
, Issue.6
, pp. 891-923
-
-
Arya, S.1
Mount, D.M.2
Netanyahu, N.S.3
Silverman, R.4
Wu, A.Y.5
-
19
-
-
4444365340
-
-
Penguin Group, 44, 45, 46
-
Albert-Laszlo Barabasi. Linked: How Everything Is Connected to Everything Else and What it Means for Business, Science, and Everyday Life. Penguin Group, 2003. 44, 45, 46
-
(2003)
Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life
-
-
Barabasi, A.1
-
20
-
-
0038513959
-
Scale-free networks
-
May 45, 46
-
Albert-Laszlo Barabasi and Eric Bonabeau. Scale-free networks. Scientific American, 288:60-69, May 2003. DOI: 10.1038/scientificamerican0503-60. 45, 46
-
(2003)
Scientific American
, vol.288
, pp. 60-69
-
-
Barabasi, A.1
Bonabeau, E.2
-
21
-
-
0000816725
-
Branch-and-price: Column generation for solving huge integer programs
-
May-June 41
-
Cynthia Barnhart, Ellis L. Johnson, George Nemhauser, Martin W. P. Savelbergh, and Pamela H. Vance. Branch-and-price: Column generation for solving huge integer programs. Optimization, 46(3):316-329, May-June 1998. DOI: 10.1287/opre.46.3.316. 41
-
(1998)
Optimization
, vol.46
, Issue.3
, pp. 316-329
-
-
Barnhart, C.1
Johnson, E.L.2
Nemhauser, G.3
Savelbergh, M.W.P.4
Vance, P.H.5
-
22
-
-
33750709703
-
Subgraph ensembles and motif discovery using an alternative heuristic for graph isomorphism
-
46
-
Kim Baskerville and Maya Paczuski. Subgraph ensembles and motif discovery using an alternative heuristic for graph isomorphism. Physical Review E 74, pages 051903:1-11, 2006. 46
-
(2006)
Physical Review E 74
, vol.1-11
, pp. 051903
-
-
Baskerville, K.1
Paczuski, M.2
-
23
-
-
84897544737
-
Theano: New features and speed improvements
-
abs/1211.5590 61
-
Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian J. Goodfellow, Arnaud Bergeron, Nicolas Bouchard, David Warde-Farley, and Yoshua Bengio. Theano: new features and speed improvements. CoRR, abs/1211.5590, 2012. DOI: 10.1103/PhysRevE.74.051903. 61
-
(2012)
CoRR
-
-
Bastien, F.1
Lamblin, P.2
Pascanu, R.3
Bergstra, J.4
Goodfellow, I.J.5
Bergeron, A.6
Bouchard, N.7
Warde-Farley, D.8
Bengio, Y.9
-
25
-
-
84923409847
-
-
editors Cambridge University Press, 9, 53
-
Ron Bekkerman, Misha Bilenko, and John Langford, editors. Scaling Up Machine Learning: Parallel and Distributed Approaches. Cambridge University Press, 2011. 9, 53
-
(2011)
Scaling Up Machine Learning: Parallel and Distributed Approaches
-
-
Bekkerman, R.1
Bilenko, M.2
Langford, J.3
-
26
-
-
78751623608
-
All together now: A perspective on the netflix prize
-
9, 16, 18, 23
-
Robert M. Bell, Yehuda Koren, and Chris Volinsky. All Together Now: A Perspective on the Netflix Prize. Chance, 23(1):24-29, 2010. DOI: 10.1080/09332480.2010.10739787. 9, 16, 18, 23
-
(2010)
Chance
, vol.23
, Issue.1
, pp. 24-29
-
-
Bell, R.M.1
Koren, Y.2
Volinsky, C.3
-
27
-
-
69349090197
-
Learning deep architectures for AI
-
27, 59, 61
-
Y. Bengio. Learning deep architectures for AI. Foundations and Trends in Machine Learning, 2 (1), 2009. DOI: 10.1561/2200000006. 27, 59, 61
-
(2009)
Foundations and Trends in Machine Learning
, vol.2
, Issue.1
-
-
Bengio, Y.1
-
28
-
-
84944735469
-
-
Book in preparation for MIT Press, 13, 27, 34
-
Yoshua Bengio, Ian J. Goodfellow, and Aaron Courville. Deep learning. Book in preparation for MIT Press, 2014. http://www.iro.umontreal.ca/~bengioy/dlbook. 13, 27, 34
-
(2014)
Deep Learning
-
-
Bengio, Y.1
Goodfellow, I.J.2
Courville, A.3
-
29
-
-
0001907967
-
Support vector machines: Hype or hallelujah?
-
23, 25
-
Kristin Bennett and Colin Campbell. Support vector machines: Hype or hallelujah? SIGKDD Explorations, 2(2), 2000. DOI: 10.1145/380995.380999. 23, 25
-
(2000)
SIGKDD Explorations
, vol.2
, Issue.2
-
-
Bennett, K.1
Campbell, C.2
-
30
-
-
0016557674
-
Multidimensional binary search trees used for associative searching
-
17, 18
-
Jon Louis Bentley. Multidimensional binary search trees used for associative searching. Communications of the ACM, 18(9):509-517, 1975. DOI: 10.1145/361002.361007. 17, 18
-
(1975)
Communications of the ACM
, vol.18
, Issue.9
, pp. 509-517
-
-
Louis Bentley, J.1
-
31
-
-
0018999905
-
Multidimensional divide and conquer
-
17, 18
-
Jon Louis Bentley. Multidimensional divide and conquer. Communications of the ACM, 23(4): 214-229, 1980. DOI: 10.1145/358841.358850. 17, 18
-
(1980)
Communications of the ACM
, vol.23
, Issue.4
, pp. 214-229
-
-
Louis Bentley, J.1
-
32
-
-
84857819132
-
Theano: A CPU and GPU math expression compiler
-
June. Oral Presentation. 61
-
James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, and Yoshua Bengio. Theano: a CPU and GPU math expression compiler. In Proc. of the Python for Scientific Computing Conference (SciPy), June 2010. Oral Presentation. 61
-
(2010)
Proc. of the Python for Scientific Computing Conference (SciPy)
-
-
Bergstra, J.1
Breuleux, O.2
Bastien, F.3
Lamblin, P.4
Pascanu, R.5
Desjardins, G.6
Turian, J.7
Warde-Farley, D.8
Bengio, Y.9
-
33
-
-
0029546874
-
Using linear algebra for intelligent information retrieval
-
Computer Science Department, University of Tennessee, Knoxville, December 48, 50
-
M. W. Berry, S. T. Dumais, and G. W. O'Brien. Using linear algebra for intelligent information retrieval. Technical Report CS-94-270, Computer Science Department, University of Tennessee, Knoxville, December 1994. DOI: 10.1137/1037127. 48, 50
-
(1994)
Technical Report CS-94-270
-
-
Berry, M.W.1
Dumais, S.T.2
O'Brien, G.W.3
-
34
-
-
0029546874
-
Using linear algebra for intelligent information retrieval
-
December 58
-
Michael W. Berry, Susan T. Dumais, and Gavin W. O'Brien. Using linear algebra for intelligent information retrieval. SIAM Rev., 37(4), December 1995. DOI: 10.1137/1037127. 58
-
(1995)
SIAM Rev.
, vol.37
, Issue.4
-
-
Berry, M.W.1
Dumais, S.T.2
O'Brien, G.W.3
-
35
-
-
84947205653
-
When is "nearest neighbor" meaningful?
-
16, 18
-
Kevin Beyer, Jonathan Goldstein, Raghu Ramakrishnan, and Uri Shaft. When is "nearest neighbor" meaningful? Lecture Notes in Computer Science, 1540:217-235, 1999. DOI: 10.1007/3-540-49257-7-15. 16, 18
-
(1999)
Lecture Notes in Computer Science
, vol.1540
, pp. 217-235
-
-
Beyer, K.1
Goldstein, J.2
Ramakrishnan, R.3
Shaft, U.4
-
38
-
-
70350656237
-
Enabling analysts in managed services for CRM analytics
-
9
-
Indrajit Bhattacharya, Shantanu Godbole, Ajay Gupta, Ashish Verma, Jeff Achtermann, and Kevin English. Enabling analysts in managed services for CRM analytics. In Proc. of the 2009 ACM KDD Intl. Conf. on Knowledge and Data Discovery, 2009. DOI: 10.1145/1557019.1557136. 9
-
(2009)
Proc. of the 2009 ACM KDD Intl. Conf. on Knowledge and Data Discovery
-
-
Bhattacharya, I.1
Godbole, S.2
Gupta, A.3
Verma, A.4
Achtermann, J.5
English, K.6
-
39
-
-
0003857778
-
A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden markov models
-
International Computer Science Institute, April. 15
-
Jeff A. Bilmes. A gentle tutorial of the em algorithm and its application to parameter estimation for gaussian mixture and hidden markov models. Technical Report TR-97-021, International Computer Science Institute, April 1998. 15
-
(1998)
Technical Report TR-97-021
-
-
Bilmes, J.A.1
-
40
-
-
0003612982
-
-
MIT Press, Cambridge, MA, USA, August. 67, 68
-
Guy E. Blelloch. Vector models for data-parallel computing. MIT Press, Cambridge, MA, USA, August 1990. 67, 68
-
(1990)
Vector Models for Data-parallel Computing
-
-
Blelloch, G.E.1
-
42
-
-
84975059502
-
Financial risk modeling on low-power accelerators: Xperimental performance evaluation of tk1 with fpga, March 2015
-
63, 64
-
Rajesh Bordawekar and Daniel Beece. Financial risk modeling on low-power accelerators: xperimental performance evaluation of tk1 with fpga, March 2015. Nvidia Global Technology Conference. 63, 64
-
Nvidia Global Technology Conference
-
-
Bordawekar, R.1
Beece, D.2
-
43
-
-
84876590483
-
Analyzing analytics, part 1: A survey of business analytics models and algorithms
-
IBM T. J. Watson Research Center, July 8
-
Rajesh Bordawekar, Bob Blainey, Chidanand Apte, and Michael McRoberts. Analyzing analytics, part 1: A survey of business analytics models and algorithms. Technical Report RC25186, IBM T. J. Watson Research Center, July 2011. DOI: 10.1145/2590989.2590993. 8
-
(2011)
Technical Report RC25186
-
-
Bordawekar, R.1
Blainey, B.2
Apte, C.3
McRoberts, M.4
-
44
-
-
0141972655
-
Accelerating the cky parsing using fpgas
-
May 57, 58
-
Jacir L. Bordim, Yasuaki Ito, and Koji Nakano. Accelerating the cky parsing using fpgas. IEICE Trans. Inf. and Syst., E86-D(5), May 2003. DOI: 10.1007/3-540-36265-7-5. 57, 58
-
(2003)
IEICE Trans. Inf. and Syst.
, vol.E86-D
, Issue.5
-
-
Bordim, J.L.1
Ito, Y.2
Nakano, K.3
-
45
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
23, 25
-
Bernhard E. Boser, Isabelle M. Guyon, and Vladimir Vapnik. A training algorithm for optimal margin classifiers. In Fifth Annual Workshop on Computational Learning Theory, pages 144-152, 1992. DOI: 10.1145/130385.130401. 23, 25
-
(1992)
Fifth Annual Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.3
-
47
-
-
80051762104
-
Distributed optimization and statistical learning via the alternating direction method of multipliers
-
53
-
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1):1-122, 2011. DOI: 10.1561/2200000016. 53
-
(2011)
Foundations and Trends in Machine Learning
, vol.3
, Issue.1
, pp. 1-122
-
-
Boyd, S.1
Parikh, N.2
Chu, E.3
Peleato, B.4
Eckstein, J.5
-
49
-
-
0000605667
-
Options: A monte carlo approach
-
36, 37
-
Phelim P. Boyle. Options: A monte carlo approach. Journal of Financial Economics, 4:323-338, 1977. DOI: 10.1016/0304-405X(77)90005-8. 36, 37
-
(1977)
Journal of Financial Economics
, vol.4
, pp. 323-338
-
-
Boyle, P.P.1
-
51
-
-
0003802343
-
-
Wadsworth, Belmont, CA,. 29, 30
-
L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone. Classification and Regression Trees. Wadsworth, Belmont, CA, 1984. 29, 30
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
52
-
-
84976668743
-
Algorithm 457: Finding all cliques of an undirected graph
-
46
-
Coen Bron and Joep Kerbosch. Algorithm 457: Finding all cliques of an undirected graph. Communications of the ACM, 16(9):575-577, 1973. DOI: 10.1145/362342.362367. 46
-
(1973)
Communications of the ACM
, vol.16
, Issue.9
, pp. 575-577
-
-
Bron, C.1
Kerbosch, J.2
-
53
-
-
33748361351
-
The $25,000,000,000 eigenvector: The linear algebra behind google
-
March 67, 68
-
Kurt Bryan and Tanya Leise. The $25,000,000,000 eigenvector: The linear algebra behind google. SIAM Rev., 48(3), March 2006. DOI: 10.1137/050623280. 67, 68
-
(2006)
SIAM Rev.
, vol.48
, Issue.3
-
-
Bryan, K.1
Leise, T.2
-
54
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
23, 25
-
Christopher Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:121-167, 1998. DOI: 10.1023/A:1009715923555. 23, 25
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, pp. 121-167
-
-
Burges, C.1
-
58
-
-
4644368900
-
-
Technical Report Research Paper No. 9711, Federal Reserve Bank of New York, March 9
-
Richard Cantor, Frank Packer, and Kevin Cole. Split ratings and the pricing of credit risk. Technical Report Research Paper No. 9711, Federal Reserve Bank of New York, March 1997. DOI: 10.3905/jfi.1997.408217. 9
-
(1997)
Split Ratings and the Pricing of Credit Risk
-
-
Cantor, R.1
Packer, F.2
Cole, K.3
-
59
-
-
58049208229
-
Ordered cyclic motifs contributes to dynamic stability in biological and engineered networks
-
46
-
G. A. Cecchi, A. Ma'ayan, A. R. Rao, J. Wagner, R. Iyengar, and G. Stolovitzky. Ordered cyclic motifs contributes to dynamic stability in biological and engineered networks. Proc. of the National Academy of Sciences, 105:19235-19240, 2008. DOI: 10.1073/pnas.0805344105. 46
-
(2008)
Proc. of the National Academy of Sciences
, vol.105
, pp. 19235-19240
-
-
Cecchi, G.A.1
Ma'Ayan, A.2
Rao, A.R.3
Wagner, J.4
Iyengar, R.5
Stolovitzky, G.6
-
60
-
-
33745790274
-
Graph mining: Laws, generators, and algorithms
-
March 44, 45, 46
-
Deepayan Chakrabarti and Christos Faloutsos. Graph mining: Laws, generators, and algorithms. ACM Computing Surveys, 38(2), March 2006. DOI: 10.1145/1132952.1132954. 44, 45, 46
-
(2006)
ACM Computing Surveys
, vol.38
, Issue.2
-
-
Chakrabarti, D.1
Faloutsos, C.2
-
62
-
-
0035534111
-
K-modes clustering
-
15, 16
-
A. Chaturvedi, P. E. Green, and J. D. Caroll. K-modes clustering. Journal of Classification, 18 (1):35-55, 2001. DOI: 10.1007/s00357-001-0004-3. 15, 16
-
(2001)
Journal of Classification
, vol.18
, Issue.1
, pp. 35-55
-
-
Chaturvedi, A.1
Green, P.E.2
Caroll, J.D.3
-
63
-
-
0344811122
-
An overview of data warehousing and OLAP technology
-
41, 42, 43, 44
-
S. Chaudhuri and U. Dayal. An overview of data warehousing and OLAP technology. SIGMOD Record, 26:65-74, 1997. DOI: 10.1145/248603.248616. 41, 42, 43, 44
-
(1997)
SIGMOD Record
, vol.26
, pp. 65-74
-
-
Chaudhuri, S.1
Dayal, U.2
-
64
-
-
84873463816
-
Benchnn: On the broad potential application scope of hardware neural network accelerators
-
62, 76
-
Tianshi Chen, Yunji Chen, Marc Duranton, Qi Guo, Atif Hashmi, Mikko Lipasti, Andrew Nerei, Shi Qiu, Michele Sebag, and Olivier Temam. Benchnn: On the broad potential application scope of hardware neural network accelerators. In Proc. International Symposium on Workload Characterization (IISWC'12), 2012. DOI: 10.1109/IISWC.2012.6402898. 62, 76
-
(2012)
Proc. International Symposium on Workload Characterization (IISWC'12)
-
-
Chen, T.1
Chen, Y.2
Duranton, M.3
Guo, Q.4
Hashmi, A.5
Lipasti, M.6
Nerei, A.7
Qiu, S.8
Sebag, M.9
Temam, O.10
-
65
-
-
84897780584
-
Diannao: A small-footprint high-throughput accelerator for ubiquitous machinelearning
-
62, 76
-
Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, and Olivier Temam. Diannao: A small-footprint high-throughput accelerator for ubiquitous machinelearning. In Proc. of the 19th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'14), 2014a. DOI: 10.1145/2541940.2541967. 62, 76
-
(2014)
Proc. of the 19th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'14)
-
-
Chen, T.1
Du, Z.2
Sun, N.3
Wang, J.4
Wu, C.5
Chen, Y.6
Temam, O.7
-
66
-
-
84937706638
-
Dadiannao: A machine-learning supercomputer
-
61, 62, 76
-
Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, and Olivier Temam. Dadiannao: A machine-learning supercomputer. In Proc. of the 47th IEEE/ACM International Symposium on Microarchitecture (MICRO' 14), 2014b. DOI: 10.1109/MICRO.2014.58. 61, 62, 76
-
(2014)
Proc. of the 47th IEEE/ACM International Symposium on Microarchitecture (MICRO' 14)
-
-
Chen, Y.1
Luo, T.2
Liu, S.3
Zhang, S.4
He, L.5
Wang, J.6
Li, L.7
Chen, T.8
Xu, Z.9
Sun, N.10
Temam, O.11
-
67
-
-
84959213942
-
Cudnn: Efficient primitives for deep learning
-
abs/1410.0759. 60, 61
-
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, and Evan Shelhamer. cudnn: Efficient primitives for deep learning. CoRR, abs/1410.0759, 2014. 60, 61
-
(2014)
CoRR
-
-
Chetlur, S.1
Woolley, C.2
Vandermersch, P.3
Cohen, J.4
Tran, J.5
Catanzaro, B.6
Shelhamer, E.7
-
68
-
-
85069497682
-
Project adam: Building an efficient and scalable deep learning training system
-
October. 60, 61, 75, 76
-
Trishul Chilimbi, Yutaka Suzue, Johnson Apacible, and Karthik Kalyanaraman. Project adam: Building an efficient and scalable deep learning training system. In Proc. of the 11th USENIX Symposium on Operating Systems Design and Implementation, October 2014. 60, 61, 75, 76
-
(2014)
Proc. of the 11th USENIX Symposium on Operating Systems Design and Implementation
-
-
Chilimbi, T.1
Suzue, Y.2
Apacible, J.3
Kalyanaraman, K.4
-
69
-
-
84879875579
-
Analysis and characterization of inherent application resilience for approximate computing
-
73, 76
-
Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, and Anand Raghunathan. Analysis and characterization of inherent application resilience for approximate computing. In Proc. of the 50th Annual Design Automation Conference, DAC'13, 2013. DOI: 10.1145/2463209.2488873. 73, 76
-
(2013)
Proc. of the 50th Annual Design Automation Conference, DAC'13
-
-
Chippa, V.K.1
Chakradhar, S.T.2
Roy, K.3
Raghunathan, A.4
-
70
-
-
0035788889
-
A robust and scalable clustering algorithm for mixed type attributes in large database environment
-
16
-
Tom Chiu, DongPing Fang, John Chen, Yao Wang, and Christopher Jeris. A robust and scalable clustering algorithm for mixed type attributes in large database environment. In Procs. of the 2001 ACM KDD Intl. Conf. on Knowledge and Data Discovery, pages 263-268, 2001. DOI: 10.1145/502512.502549. 16
-
(2001)
Procs. of the 2001 ACM KDD Intl. Conf. on Knowledge and Data Discovery
, pp. 263-268
-
-
Chiu, T.1
Fang, D.2
Chen, J.3
Wang, Y.4
Jeris, C.5
-
71
-
-
84929293756
-
Hardware accelerators for financial mathematics-methodology, results and benchmarks
-
February. 62, 64
-
Henning Marxen Christian de Schryver and Daniel Schmidt. Hardware accelerators for financial mathematics-methodology, results and benchmarks. In Proc. Young Researcher's Symposium (YRS), February 2011. 62, 64
-
(2011)
Proc. Young Researcher's Symposium (YRS)
-
-
De Schryver, H.M.C.1
Schmidt, D.2
-
72
-
-
84936933907
-
Parallel deep neural network training for big data on blue gene/q
-
November 60
-
I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John Gunnels, Vernon Austel, Upendra Chauhari, and Brian Kingsbury. Parallel deep neural network training for big data on blue gene/q. In Proc. of SC14: International Conference for High Performance Computing, Networking, Storage and Analysis, November 2014. DOI: 10.1109/SC.2014.66. 60
-
(2014)
Proc. of SC14: International Conference for High Performance Computing, Networking, Storage and Analysis
-
-
Chung, I.1
Sainath, T.N.2
Ramabhadran, B.3
Picheny, M.4
Gunnels, J.5
Austel, V.6
Chauhari, U.7
Kingsbury, B.8
-
76
-
-
0003307653
-
Beyond decision support
-
27, July 41, 43
-
E. F. Codd, S. B. Codd, and C. T. Salley. Beyond decision support. Computer World, 27, July 1993b. DOI: 10.1016/0360-8352(88)90043-5. 41, 43
-
(1993)
Computer World
-
-
Codd, E.F.1
Codd, S.B.2
Salley, C.T.3
-
79
-
-
37749049420
-
Effective document clustering for large heterogeneous law firm collections
-
34, 35
-
Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, and George Karypis. Effective document clustering for large heterogeneous law firm collections. In 10th International Conference on Artificial Intelligence and Law (ICAIL), pages 177-187, 2005. DOI: 10.1145/1165485.1165513. 34, 35
-
(2005)
10th International Conference on Artificial Intelligence and Law (ICAIL)
, pp. 177-187
-
-
Conrad, J.G.1
Al-Kofahi, K.2
Zhao, Y.3
Karypis, G.4
-
82
-
-
84975037655
-
-
University College Cork. CSP tutorial, 40, 41
-
Cork Constraint Computation Centre, University College Cork. CSP tutorial, 2011. http: //4c.ucc.ie/web/outreach/tutorial.html. 40, 41
-
(2011)
-
-
Cork Constraint Computation Centre1
-
83
-
-
34249753618
-
Support vector networks
-
Corinna Cortes and Vladimir Vapnik. Support vector networks. Machine Learning, 20:273-297, 1995. DOI: 10.1007/BF00994018. 23, 25
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
84
-
-
33846898271
-
Families of fpga-based accelerators for approximate string matching
-
March 23, 25
-
Tom Van Court and Martin C. Herbordt. Families of fpga-based accelerators for approximate string matching. Microprocess Microsyst., 31(2), March 2007. DOI: 10.1016/j.micpro.2006.04.001. 58
-
(2007)
Microprocess Microsyst.
, vol.31
, Issue.2
-
-
Van Court, T.1
Herbordt, M.C.2
-
85
-
-
84968468396
-
On the lattice structure of certain linear congruential sequences related to awc/swb generators
-
37
-
R. Couture and P. L'Ecuyer. On the lattice structure of certain linear congruential sequences related to awc/swb generators. Mathematics of Computation, 62:799-808, 1994. DOI: 10.1090/S0025-5718-1994-1220826-X. 37
-
(1994)
Mathematics of Computation
, vol.62
, pp. 799-808
-
-
Couture, R.1
L'Ecuyer, P.2
-
89
-
-
77951575054
-
A 1 cycle-per-byte xml parsing accelerator
-
February 58
-
Zefu Dai, Nick Ni, and Jianwen Zhu. A 1 cycle-per-byte xml parsing accelerator. In Proc. FPGA'10, February 2010. DOI: 10.1145/1723112.1723148. 58
-
(2010)
Proc. FPGA'10
-
-
Dai, Z.1
Ni, N.2
Zhu, J.3
-
90
-
-
0003909736
-
-
Princeton University Press, Princeton, NJ 39, 41
-
G. B. Dantzig. Linear Programming and Extensions. Princeton University Press, Princeton, NJ, 1963. DOI: 10.1145/997817.997857. 39, 41
-
(1963)
Linear Programming and Extensions
-
-
Dantzig, G.B.1
-
91
-
-
43349087637
-
Social ties and their relevance to churn in mobile telecom networks
-
March 9, 45, 46
-
Koustuv Dasgupta, Rahul Singh, Balaji Viswanathan, Dipanjan Chakraborty, Sougata Mukherjea, Amit Anil Nanavati, and Anupam Joshi. Social ties and their relevance to churn in mobile telecom networks. In EDBT 2008, 11th International Conference on Extending Database Technology, pages 668-677, March 2008. DOI: 10.1145/1353343.1353424. 9, 45, 46
-
(2008)
EDBT 2008, 11th International Conference on Extending Database Technology
, pp. 668-677
-
-
Dasgupta, K.1
Singh, R.2
Viswanathan, B.3
Chakraborty, D.4
Mukherjea, S.5
Anil Nanavati, A.6
Joshi, A.7
-
92
-
-
4544259509
-
Locality-sensitive hashing scheme based on p-stable distributions
-
18
-
Mayur Datar, Nicole Immorlica, Piotr Indyk, and Vahab S. Mirrokni. Locality-sensitive hashing scheme based on p-stable distributions. In Symposium on Computational Geometry, pages 253-262, 2004. DOI: 10.1145/997817.997857. 18
-
(2004)
Symposium on Computational Geometry
, pp. 253-262
-
-
Datar, M.1
Immorlica, N.2
Indyk, P.3
Mirrokni, V.S.4
-
93
-
-
34347263658
-
-
Harvard Business School Press, 2, 5, 9, 20
-
T. Davenport and J. Harris. Competing on Analytics, The New Science of Winning. Harvard Business School Press, 2007. 2, 5, 9, 20
-
(2007)
Competing on Analytics, the New Science of Winning
-
-
Davenport, T.1
Harris, J.2
-
94
-
-
77955454908
-
-
Harvard Business School Press, 5, 9, 20
-
T. Davenport, J. Harris, and R. Morison. Analytics at Work, Smarter Decisions, Better Results. Harvard Business School Press, 2010. 5, 9, 20
-
(2010)
Analytics at Work, Smarter Decisions, Better Results
-
-
Davenport, T.1
Harris, J.2
Morison, R.3
-
95
-
-
13544249936
-
A review of two text-mining packages: Sas textmining and wordstat
-
February 33, 35
-
Angelique Davi, Dominique Haughton, Nada Nasr, Gaurav Shah, Maria Skaletsky, and Ruth Spack. A review of two text-mining packages: Sas textmining and wordstat. The American Statistician, 59(1):89-103, February 2005. DOI: 10.1198/000313005X22987. 33, 35
-
(2005)
The American Statistician
, vol.59
, Issue.1
, pp. 89-103
-
-
Davi, A.1
Haughton, D.2
Nasr, N.3
Shah, G.4
Skaletsky, M.5
Spack, R.6
-
96
-
-
84856887465
-
An energy efficient fpga accelerator for monte carlo option pricing with the heston model
-
64
-
Christian de Schryver, Ivan Shcherbakov, Frank Kienle, Norbert Wehn, Henning Marxen, Anton Kostiuk, and Ralf Korn. An energy efficient fpga accelerator for monte carlo option pricing with the heston model. In Proc. 2011 International Conference on Reconfigurable Computing and FPGAs, 2011. DOI: 10.1109/ReConFig.2011.11. 64
-
(2011)
Proc. 2011 International Conference on Reconfigurable Computing and FPGAs
-
-
De Schryver, C.1
Shcherbakov, I.2
Kienle, F.3
Wehn, N.4
Marxen, H.5
Kostiuk, A.6
Korn, R.7
-
97
-
-
84975082807
-
-
March. Nvidia Global Technology Conference Keynote. 60, 61, 76
-
Jeff Dean. Large scale deep learning, March 2015. Nvidia Global Technology Conference Keynote. 60, 61, 76
-
(2015)
Large Scale Deep Learning
-
-
Dean, J.1
-
98
-
-
73649114265
-
Mapreduce: A flexible data processing tool
-
8
-
Jeffrey Dean and Sanjay Ghemawat. Mapreduce: a flexible data processing tool. Communications of the ACM, 53(1), 2010. DOI: 10.1145/1629175.1629198. 8
-
(2010)
Communications of the ACM
, vol.53
, Issue.1
-
-
Dean, J.1
Ghemawat, S.2
-
100
-
-
84989525001
-
Indexing by latent semantic analysis
-
34, 35
-
Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, and Richard Harshman. Indexing by latent semantic analysis. Journal of the American Society For Information Science, 41:391-407, 1990. DOI: 10.1002/(SICI)1097-4571(199009)41:6%3C391::AIDASI1% 3E3.0.CO;2-9. 34, 35
-
(1990)
Journal of the American Society for Information Science
, vol.41
, pp. 391-407
-
-
Deerwester, S.1
Dumais, S.T.2
Furnas, G.W.3
Landauer, T.K.4
Harshman, R.5
-
102
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
15, 16
-
A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society. Series B (Methodological), 39(1):1-38, 1977. 15, 16
-
(1977)
Journal of the Royal Statistical Society. Series B (Methodological)
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
103
-
-
1842478680
-
Deep packet inspection using parallel Bloom filters
-
January 71, 75
-
Sarang Dharmapurikar, Praveen Krishnamurthy, Todd S. Sproull, and John W. Lockwood. Deep packet inspection using parallel Bloom filters. IEEE Micro, 24(1):52-61, January 2004. DOI: 10.1109/MM.2004.1268997. 71, 75
-
(2004)
IEEE Micro
, vol.24
, Issue.1
, pp. 52-61
-
-
Dharmapurikar, S.1
Krishnamurthy, P.2
Sproull, T.S.3
Lockwood, J.W.4
-
104
-
-
31844442747
-
A unified view of kernel k-means, spectral clustering, and graph cuts
-
Department of Computer Science, University of Texas at Austin, February. 46
-
Inderjit Dhillon, Yuqiang Guan, and Brian Kulis. A unified view of kernel k-means, spectral clustering, and graph cuts. Technical Report TR-04-25, Department of Computer Science, University of Texas at Austin, February 2005. 46
-
(2005)
Technical Report TR-04-25
-
-
Dhillon, I.1
Guan, Y.2
Kulis, B.3
-
105
-
-
33749575326
-
Orthogonal nonnegative matrix tri-factorizations for clustering
-
35
-
Chris Ding, Tao Li, Wei Peng, and Haesum Park. Orthogonal nonnegative matrix tri-factorizations for clustering. In Proc. of KDD'06, pages 126-134, 2006. DOI: 10.1145/1150402.1150420. 35
-
(2006)
Proc. of KDD'06
, pp. 126-134
-
-
Ding, C.1
Li, T.2
Peng, W.3
Park, H.4
-
106
-
-
67049146331
-
Nonnengative matrix factorization for combinatorial optimization: Spectral clustering, graph matching, and clique finding
-
46
-
Chris Ding, Tao Li, and Michael I. Jordan. Nonnengative matrix factorization for combinatorial optimization: Spectral clustering, graph matching, and clique finding. In 2008 Eighth IEEE International Conference on Data Mining, pages 183-192, 2008. DOI: 10.1109/ICDM.2008.130. 46
-
(2008)
2008 Eighth IEEE International Conference on Data Mining
, pp. 183-192
-
-
Ding, C.1
Li, T.2
Jordan, M.I.3
-
107
-
-
84911882265
-
An efficient and scalable semiconductor architecture for parallel automata processing
-
December 58
-
Paul Dlugosch, Dave Brown, Paul Glendenning, Michael Leventhal, and Harold Noyes. An efficient and scalable semiconductor architecture for parallel automata processing. IEEE Transactions on Parallel and Distributed Systems, 25(12), December 2014. DOI: 10.1109/TPDS.2014.8. 58
-
(2014)
IEEE Transactions on Parallel and Distributed Systems
, vol.25
, Issue.12
-
-
Dlugosch, P.1
Brown, D.2
Glendenning, P.3
Leventhal, M.4
Noyes, H.5
-
108
-
-
0346607177
-
A survey of mathematical programming applications in integrated steel plants
-
Fall 38, 41
-
Goutam Dutta and Robert Fourer. A survey of mathematical programming applications in integrated steel plants. Manufacturing and Service Operations Management, 3(4):387-400, Fall 2001. DOI: 10.1287/msom.3.4.387.9972. 38, 41
-
(2001)
Manufacturing and Service Operations Management
, vol.3
, Issue.4
, pp. 387-400
-
-
Dutta, G.1
Fourer, R.2
-
110
-
-
26444565569
-
Finding structure in time
-
28
-
Jeffrey L. Elman. Finding structure in time. Cognitive Science, 14(2):179-211, 1990. DOI: 10.1207/s15516709cog1402-1. 28
-
(1990)
Cognitive Science
, vol.14
, Issue.2
, pp. 179-211
-
-
Elman, J.L.1
-
111
-
-
50649104855
-
-
30, 31, 32
-
Michael Falk, Frank Marohn, Rene Michel, Daniel Hofmann, and Maria Macke. A first course on time series analysis - examples with SAS, 2006. 30, 31, 32
-
(2006)
A First Course on Time Series Analysis - Examples with SAS
-
-
Falk, M.1
Marohn, F.2
Michel, R.3
Hofmann, D.4
Macke, M.5
-
112
-
-
77956000290
-
Hardware accelerated convolutional neural networks for synthetic vision systems
-
61, 62, 76
-
C. Farabet, B. Martini, P. Akselrod, S. Tlay, Y. LeCun, and E. Culurciello. Hardware accelerated convolutional neural networks for synthetic vision systems. In Proc. International Symposium on Circuits and Systems (ISCAS'10), 2010. DOI: 10.1109/ISCAS.2010.5537908. 61, 62, 76
-
(2010)
Proc. International Symposium on Circuits and Systems (ISCAS'10)
-
-
Farabet, C.1
Martini, B.2
Akselrod, P.3
Tlay, S.4
LeCun, Y.5
Culurciello, E.6
-
113
-
-
80051916951
-
Towards vulnerability-based intrusion detection with event processing
-
New York, New York, USA,. ACM 75
-
Amer Farroukh, Mohammad Sadoghi, and Hans-Arno Jacobsen. Towards vulnerability-based intrusion detection with event processing. In Proc. of the 5th ACM international conference on Distributed event-based system, DEBS'11, pages 171-182, New York, New York, USA, 2011. ACM. DOI: 10.1145/2002259.2002284. 75
-
(2011)
Proc. of the 5th ACM International Conference on Distributed Event-based System, DEBS'11
, pp. 171-182
-
-
Farroukh, A.1
Sadoghi, M.2
Jacobsen, H.3
-
114
-
-
46749110035
-
Text mining infrastructure in r
-
March 33, 35
-
Ingo Feinerer, Kurt Hornik, and David Meyer. Text Mining Infrastructure in R. Journal of Statistical Software, 25(5), March 2008. DOI: 10.18637/jss.v025.i05. 33, 35
-
(2008)
Journal of Statistical Software
, vol.25
, Issue.5
-
-
Feinerer, I.1
Hornik, K.2
Meyer, D.3
-
116
-
-
79961196163
-
Building watson: An overview of the deepqa project
-
(Fall), 9, 47
-
David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya A. Kalyanpur, Adam Lally, J. William Murdock, Eri Nyberg, John Prager, Nico Schlaefer, and Chris Welty. Building Watson: An Overview of the DeepQA Project. AI Magazine, 59(Fall), 2010. 9, 47
-
(2010)
AI Magazine
, vol.59
-
-
Ferrucci, D.1
Brown, E.2
Chu-Carroll, J.3
Fan, J.4
Gondek, D.5
Kalyanpur, A.A.6
Lally, A.7
William Murdock, J.8
Nyberg, E.9
Prager, J.10
Schlaefer, N.11
Welty, C.12
-
118
-
-
84946835914
-
Active storage: Exploring a scalable, compute-in-storage model by extending the blue gene/q architecture with integrated non-volatile memory
-
August. 70, 73, 75
-
Blake Fitch. Active storage: Exploring a scalable, compute-in-storage model by extending the blue gene/q architecture with integrated non-volatile memory. In Proc. of ADMS'13, Fourth International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures, August 2013. 70, 73, 75
-
(2013)
Proc. of ADMS'13, Fourth International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures
-
-
Fitch, B.1
-
120
-
-
33750913667
-
Kd-tree acceleration structures for a gpu raytracer
-
71, 75
-
Tim Foley and Jeremy Sugerman. Kd-tree acceleration structures for a gpu raytracer. Graphics Hardware, 2005. DOI: 10.1145/1071866.1071869. 71, 75
-
(2005)
Graphics Hardware
-
-
Foley, T.1
Sugerman, J.2
-
122
-
-
84912524416
-
A high memory bandwidth fpga accelerator for sparse matrix-vector multiplication
-
May 72, 76
-
Jeremy Fowers, Kalin Ovtcharov, Karin Strauss, Eric Chung, and Greg Stitt. A high memory bandwidth fpga accelerator for sparse matrix-vector multiplication. In Proc. of International Symposium on Field-Programmable Custom Computing Machines, May 2014. DOI: 10.1109/FCCM.2014.23. 72, 76
-
(2014)
Proc. of International Symposium on Field-Programmable Custom Computing Machines
-
-
Fowers, J.1
Ovtcharov, K.2
Strauss, K.3
Chung, E.4
Stitt, G.5
-
123
-
-
84975032764
-
A true story: Gpu in production for intraday risk calculations, March 2015
-
64
-
Regis Fricker. A true story: Gpu in production for intraday risk calculations, March 2015. Nvidia Global Technology Conference. 64
-
Nvidia Global Technology Conference
-
-
Fricker, R.1
-
124
-
-
84945709355
-
An algorithm for finding best matches in logarithmic expected time
-
September 17, 18
-
J. H. Friedman, J. L. Bentley, and R. A. Finkel. An algorithm for finding best matches in logarithmic expected time. ACM Transactions on Mathematical Software, 3(3):209-226, September 1977. DOI: 10.1145/355744.355745. 17, 18
-
(1977)
ACM Transactions on Mathematical Software
, vol.3
, Issue.3
, pp. 209-226
-
-
Friedman, J.H.1
Bentley, J.L.2
Finkel, R.A.3
-
125
-
-
84905644956
-
Mapgraph: A high level api for fast development of high performance graph analytics on GPUs
-
June 67, 68
-
Zhisong Fu, Bryan Thompson, and Michael Personick. Mapgraph: A high level api for fast development of high performance graph analytics on gpus. In Proc. of GRADES 2014, June 2014. DOI: 10.1145/2621934.2621936. 67, 68
-
(2014)
Proc. of GRADES 2014
-
-
Fu, Z.1
Thompson, B.2
Personick, M.3
-
126
-
-
0019152630
-
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
-
27
-
Kunihiko Fukushima. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics, 36(4):193-202, 2013. DOI: 10.1007/BF00344251. 27
-
(2013)
Biological Cybernetics
, vol.36
, Issue.4
, pp. 193-202
-
-
Fukushima, K.1
-
127
-
-
4444231365
-
A survey of kernels for structured data
-
35
-
Thomas Gartner. A survey of kernels for structured data. SIGKDD Explorations, 2003. DOI: 10.1145/959242.959248. 35
-
(2003)
SIGKDD Explorations
-
-
Gartner, T.1
-
128
-
-
55649105542
-
Spade: The system s declarative stream processing engine
-
65, 66
-
Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip S. Yu, and Myungcheol Doo. Spade: The system s declarative stream processing engine. In Proc. of the 2008 ACM SIGMOD International Conference on Management of Data, SIGMOD '08, 2008. DOI: 10.1145/1376616.1376729. 65, 66
-
(2008)
Proc. of the 2008 ACM SIGMOD International Conference on Management of Data, SIGMOD '08
-
-
Gedik, B.1
Andrade, H.2
Wu, K.3
Yu, P.S.4
Doo, M.5
-
130
-
-
0022808235
-
On projected Newton barrier methods for linear programming and an equivalence to karmarkar's projective method
-
November 41
-
Philip E. Gill, Walter Murray, Michael A. Saunders, J. A. Tomlin, and Margaret H. Wright. On projected newton barrier methods for linear programming and an equivalence to karmarkar's projective method. Mathematical Programming: Series A and B, 36(2), November 1986. DOI: 10.1007/BF02592025. 41
-
(1986)
Mathematical Programming: Series A and B
, vol.36
, Issue.2
-
-
Gill, P.E.1
Murray, W.2
Saunders, M.A.3
Tomlin, J.A.4
Wright, M.H.5
-
131
-
-
84946821222
-
-
United States Patent: US 7,003,515 B1. 9
-
William T. Glaser, Timothy B. Westergren, Jeffrey P. Stearns, and Jonathan M. Kraft. Consumer item matching method and system, 2002. United States Patent: US 7,003,515 B1. 9
-
(2002)
Consumer Item Matching Method and System
-
-
Glaser, W.T.1
Westergren, T.B.2
Stearns, J.P.3
Kraft, J.M.4
-
133
-
-
84976668719
-
Using collaborative filtering to weave an information tapestry
-
23
-
D. Goldberg, D. Nichols, B. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. Communications of the ACM, 35(12):61-70, 1992. DOI: 10.1145/138859.138867. 23
-
(1992)
Communications of the ACM
, vol.35
, Issue.12
, pp. 61-70
-
-
Goldberg, D.1
Nichols, D.2
Oki, B.3
Terry, D.4
-
134
-
-
0032596552
-
Combining collaborative filtering with personal agents for better recommendations
-
July. 23
-
N. Good, J. B. Schafer, J. A. Konstan, A. Borchers, B. Sarwar, and J. Herlocker. Combining collaborative filtering with personal agents for better recommendations. In Proc. of the Sixteenth National Conference on Artifical Intelligence, pages 439-446, July 1999. 23
-
(1999)
Proc. of the Sixteenth National Conference on Artifical Intelligence
, pp. 439-446
-
-
Good, N.1
Schafer, J.B.2
Konstan, J.A.3
Borchers, A.4
Sarwar, B.5
Herlocker, J.6
-
135
-
-
84873930897
-
Sending the police before there's a crime
-
August 16, 2, 9
-
Erica Goode. Sending the police before there's a crime. The New York Times, August 16, 2011. 2, 9
-
(2011)
The New York Times
-
-
Goode, E.1
-
138
-
-
21744433274
-
Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals
-
Jim Gray, Surajit Chaudhuri, Adam Bosworth, Andrew Layman, Don Reichart, Murali Venkatrao, Frank Pellow, and Hamid Pirahesh. Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals. Data Mining and Knowledge Discovery, 1(1):29-53, 1997. DOI: 10.1023/A:1009726021843. 42, 43, 44
-
(1997)
Data Mining and Knowledge Discovery
, vol.1
, Issue.1
, pp. 29-53
-
-
Gray, J.1
Chaudhuri, S.2
Bosworth, A.3
Layman, A.4
Reichart, D.5
Venkatrao, M.6
Pellow, F.7
Pirahesh, H.8
-
139
-
-
84899663050
-
-
INFORMS Computing Society, February. (ongoing, first posted October). 38, 41 42, 43, 44
-
H. J. Greenberg. Myths and Counter-examples in Mathematical Programming. INFORMS Computing Society, http://glossary.computing.society.informs.org, February 2010. (ongoing, first posted October 2008). 38, 41
-
(2008)
Myths and Counter-examples in Mathematical Programming
-
-
Greenberg, H.J.1
-
140
-
-
34547469442
-
Network motif discovery using subgraph enumeration and symmetry-breaking
-
46
-
Joshua A. Grochow and Manolis Kellis. Network motif discovery using subgraph enumeration and symmetry-breaking. In RECOMB, 2007, 2007. DOI: 10.1007/978-3-540-71681-5-7. 46
-
(2007)
RECOMB, 2007
-
-
Grochow, J.A.1
Kellis, M.2
-
141
-
-
84975054474
-
Revisiting stochastic computation: Approximate estimation of machine learning kernels
-
73, 76
-
Suyog Gupta and Kailash Gopalakrishnan. Revisiting stochastic computation: Approximate estimation of machine learning kernels. In Proc. of WACAS 2014, 2014. 73, 76
-
(2014)
Proc. of WACAS 2014
-
-
Gupta, S.1
Gopalakrishnan, K.2
-
142
-
-
84946878550
-
-
February arXic:1502.02551v1. 50, 73, 76
-
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, and Pritish Narayanan. Deep learning with limited numerical precision, February 2015. arXic:1502.02551v1. 50, 73, 76
-
(2015)
Deep Learning with Limited Numerical Precision
-
-
Gupta, S.1
Agrawal, A.2
Gopalakrishnan, K.3
Narayanan, P.4
-
144
-
-
79951730930
-
-
23, 25
-
Isabelle Guyon. SVM application list, 2006. http://www.clopinet.com/isabelle/Projec ts/SVM/applist.html. 23, 25
-
(2006)
SVM Application List
-
-
Guyon, I.1
-
145
-
-
76749092270
-
The weka data mining software: An update
-
9, 14, 16, 20, 25, 28, 30, 33
-
Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten. The WEKA Data Mining Software: An Update. SIGKDD Explorations, 11(1), 2009. www.cs.waikato.ac.nz/ml/weka. DOI: 10.1145/1656274.1656278. 9, 14, 16, 20, 25, 28, 30, 33
-
(2009)
SIGKDD Explorations
, vol.11
, Issue.1
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
146
-
-
0014705837
-
A retrospective and prospective survey of the monte carlo method
-
36, 37
-
J. H. Halton. A retrospective and prospective survey of the monte carlo method. SIAM Review, 12(1):1-63, 1970. DOI: 10.1137/1012001. 36, 37
-
(1970)
SIAM Review
, vol.12
, Issue.1
, pp. 1-63
-
-
Halton, J.H.1
-
148
-
-
84964735578
-
-
Morgan Kaufmann Publishers, 7, 9, 14, 15, 16, 18, 20, 29, 30
-
Jiawei Han and Micheline Kamber. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, 2006. 7, 9, 14, 15, 16, 18, 20, 29, 30
-
(2006)
Data Mining: Concepts and Techniques
-
-
Han, J.1
Kamber, M.2
-
149
-
-
2442449952
-
Mining frequent patterns without candidate generation: A frequent-pattern tree approach
-
20
-
Jiawei Han, Jain Pei, Yiwen Yin, and Runying Mao. Mining frequent patterns without candidate generation: A frequent-pattern tree approach. Data Mining and Knowledge Discovery, 8:53-87, 2004. DOI: 10.1023/B:DAMI.0000005258.31418.83. 20
-
(2004)
Data Mining and Knowledge Discovery
, vol.8
, pp. 53-87
-
-
Han, J.1
Pei, J.2
Yin, Y.3
Mao, R.4
-
150
-
-
84946802549
-
Deep speech: Scaling up end-to-end speech recognition
-
abs/1412.5567, 61
-
Awni Y. Hannun, Carl Case, Jared Casper, Bryan C. Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, and Andrew Y. Ng. Deep speech: Scaling up end-to-end speech recognition. CoRR, abs/1412.5567, 2014. 61
-
(2014)
CoRR
-
-
Hannun, A.Y.1
Case, C.2
Casper, J.3
Catanzaro, B.C.4
Diamos, G.5
Elsen, E.6
Prenger, R.7
Satheesh, S.8
Sengupta, S.9
Coates, A.10
Ng, A.Y.11
-
151
-
-
0003780715
-
-
Addison-Wesley, Reading, MA, 46
-
Frank Harary. Graph Theory. Addison-Wesley, Reading, MA, 1969. 46
-
(1969)
Graph Theory
-
-
Harary, F.1
-
152
-
-
33751110224
-
Data mining in manufacturing: A review
-
9
-
J. A. Harding, M. Shahbaz, Srinivas, and A. Kusiak. Data mining in manufacturing: A review. Journal of Manufacturing Science and Engineering, 128(4), 2006. DOI: 10.1115/1.2194554. 9
-
(2006)
Journal of Manufacturing Science and Engineering
, vol.128
, Issue.4
-
-
Harding, J.A.1
Shahbaz, M.2
Srinivas3
Kusiak, A.4
-
153
-
-
0030157475
-
Implementing data cubes efficiently
-
42, 44
-
Venky Harinarayan, Anand Rajaraman, and Jeffrey D. Ullman. Implementing data cubes efficiently. In Procs. of the 1996 ACM SIGMOD International Conference on Management of Data (SIGMOD96), pages 205-216, 1996. DOI: 10.1145/233269.233333. 42, 44
-
(1996)
Procs. of the 1996 ACM SIGMOD International Conference on Management of Data (SIGMOD96)
, pp. 205-216
-
-
Harinarayan, V.1
Rajaraman, A.2
Ullman, J.D.3
-
155
-
-
70450200605
-
Large graph algorithms for massively multithreaded architectures
-
Indian Institute of Information Technology, 68
-
Pawan Harish, Vibhav Vineet, and P. J. Narayanan. Large graph algorithms for massively multithreaded architectures. Technical Report IIIT/TR/2009/74, Indian Institute of Information Technology, 2009. 68
-
(2009)
Technical Report IIIT/TR/2009/74
-
-
Harish, P.1
Vineet, V.2
Narayanan, P.J.3
-
156
-
-
84966600544
-
Algorithm as 136: A k-means clustering algorithm
-
14, 16
-
J. A. Hartigan and M. A. Wong. Algorithm AS 136: A K-Means Clustering Algorithm. Journal of the Royal Statistical Society, Series C (Applied Statistics), 28(1):100-108, 1979. DOI: 10.2307/2346830. 14, 16
-
(1979)
Journal of the Royal Statistical Society, Series C (Applied Statistics)
, vol.28
, Issue.1
, pp. 100-108
-
-
Hartigan, J.A.1
Wong, M.A.2
-
157
-
-
84939202658
-
Sirius: An open end-to-end voice and vision personal assistant and its implications for future warehouse scale computers
-
March 69
-
Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Ronald G. Dreslinski, Trevor Mudge, Vinicius Petrucci1, Lingjia Tang, and Jason Mars. Sirius: An open end-to-end voice and vision personal assistant and its implications for future warehouse scale computers. In Proc. of Conference on Architectural Support for Programming Languages and Operating Systems, March 2015. DOI: 10.1145/2775054.2694347. 69
-
(2015)
Proc. of Conference on Architectural Support for Programming Languages and Operating Systems
-
-
Hauswald, J.1
Laurenzano, M.A.2
Zhang, Y.3
Li, C.4
Rovinski, A.5
Khurana, A.6
Dreslinski, R.G.7
Mudge, T.8
Petrucci, V.9
Tang, L.10
Mars, J.11
-
158
-
-
56849107345
-
Efficient gather and scatter operations on graphics processors
-
November 67, 68
-
Bingsheng He, Naga K. Govindaraju, Qiong Luo, and Burton Smith. Efficient gather and scatter operations on graphics processors. In Proc. of the 2007 ACM/IEEE Conference on Supercomputing, pages 46:1-46:12, November 2007. DOI: 10.1145/1362622.1362684. 67, 68
-
(2007)
Proc. of the 2007 ACM/IEEE Conference on Supercomputing
, pp. 461-4612
-
-
He, B.1
Govindaraju, N.K.2
Luo, Q.3
Smith, B.4
-
160
-
-
84946843402
-
Applications of the yarcdata urika in drug discovery and healthcare
-
May. 67, 68
-
Robert Henschel, Abhik Seal, Jeremy J. Yang, David J. Wild, Ying Ding, Abhinav Thota, Scott Michael, Matt Gianni, and Jim Maltby. Applications of the yarcdata urika in drug discovery and healthcare. In Proc. 2014 Cray Users Group Conference, May 2014. 67, 68
-
(2014)
Proc. 2014 Cray Users Group Conference
-
-
Henschel, R.1
Seal, A.2
Yang, J.J.3
Wild, D.J.4
Ding, Y.5
Thota, A.6
Michael, S.7
Gianni, M.8
Maltby, J.9
-
161
-
-
84975039835
-
SPARC at oracle: Vectoring processor architecture at the database, September 2015
-
66
-
Rick Hetherington. SPARC at Oracle: Vectoring Processor Architecture at the Database, September 2015. Keynote presentation at the ADMS'15 Workshop. 66
-
Keynote Presentation at the ADMS'15 Workshop
-
-
Hetherington, R.1
-
162
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition
-
59, 61
-
G. Hinton, L. Deng, D. Yui, G. Dahli, A. Mohamedi, N. Jaitly, A. Seniori, V. Vanhoucke, P. Nguyeni, T. N. Sainath, and B. Kingsbury. Deep neural networks for acoustic modeling in speech recognition. IEEE Signal Processing Magazine, 29(6):82-97, 2012. DOI: 10.1109/MSP.2012.2205597. 59, 61
-
(2012)
IEEE Signal Processing Magazine
, vol.29
, Issue.6
, pp. 82-97
-
-
Hinton, G.1
Deng, L.2
Yui, D.3
Dahli, G.4
Mohamedi, A.5
Jaitly, N.6
Seniori, A.7
Vanhoucke, V.8
Nguyeni, P.9
Sainath, T.N.10
Kingsbury, B.11
-
163
-
-
0002784345
-
Algorithms for association rule mining: A general survey and comparison
-
19, 20
-
Jochen Hipp, Ulrich Guntzer, and Gholamreza Nakhaeizadeh. Algorithms for association rule mining: A general survey and comparison. SIGKDD Explorations, 2(1):58-64, 2000. DOI: 10.1145/360402.360421. 19, 20
-
(2000)
SIGKDD Explorations
, vol.2
, Issue.1
, pp. 58-64
-
-
Hipp, J.1
Guntzer, U.2
Nakhaeizadeh, G.3
-
165
-
-
0034538651
-
Combinatorial optimization: History and future challenges
-
40, 41
-
Karla Hoffman. Combinatorial optimization: History and future challenges. Journal of Applied and Computational Mathematics, 124:341-360, 2000. DOI: 10.1016/S0377-0427(00)00430-1. 40, 41
-
(2000)
Journal of Applied and Computational Mathematics
, vol.124
, pp. 341-360
-
-
Hoffman, K.1
-
166
-
-
85015566165
-
-
INFORMS Computing Society, Originally authored by Harvey J. Greenberg, 1999-2006. 38, 40, 41
-
A. Holder, editor. Mathematical Programming Glossary. INFORMS Computing Society, ht tp://glossary.computing.society.informs.org, 2006-2008. Originally authored by Harvey J. Greenberg, 1999-2006. 38, 40, 41
-
(2006)
Mathematical Programming Glossary
-
-
Holder, A.1
-
167
-
-
0020118274
-
Neural networks and physical systems with emergent collective computational ability
-
April 27, 28
-
John J. Hopfield. Neural networks and physical systems with emergent collective computational ability. Proc. of the National Academy of Sciences of the USA, 79(8):2554-2558, April 1982. DOI: 10.1073/pnas.79.8.2554. 27, 28
-
(1982)
Proc. of the National Academy of Sciences of the USA
, vol.79
, Issue.8
, pp. 2554-2558
-
-
Hopfield, J.J.1
-
169
-
-
67049164166
-
Collaborative filtering for implicit feedback datasets
-
December 22, 23
-
Y. Hu, Y. Koren, and C. Volinsky. Collaborative filtering for implicit feedback datasets. In Proc. of the Eighth IEEE International Conference on Data Mining, pages 263-272, December 2008. DOI: 10.1109/ICDM.2008.22. 22, 23
-
(2008)
Proc. of the Eighth IEEE International Conference on Data Mining
, pp. 263-272
-
-
Hu, Y.1
Koren, Y.2
Volinsky, C.3
-
176
-
-
84975032780
-
-
16, 25, 28, 30, 33, 46
-
IBM SPSS. SPSS Modeler, 2010a. 16, 25, 28, 30, 33, 46
-
(2010)
SPSS Modeler
-
-
IBM SPSS1
-
179
-
-
0031644241
-
Approximate nearest neighbors: Towards removing the curse of dimensionality
-
18
-
P. Indyk and R. Motwani. Approximate nearest neighbors: Towards removing the curse of dimensionality. In Proc. of 30th Sympo. on Theory of Computing, pages 604-613, 1998. DOI: 10.1145/276698.276876. 18
-
(1998)
Proc. of 30th Sympo. on Theory of Computing
, pp. 604-613
-
-
Indyk, P.1
Motwani, R.2
-
181
-
-
47849101190
-
Aa-sort: A new parallel sorting algorithm for multi-core simd processors
-
65, 72, 76
-
Hiroshi Inoue, Takao Moriyama, Hideaki Komatsu, and Toshio Nakatani. Aa-sort: A new parallel sorting algorithm for multi-core simd processors. In Proc. of the 16th International Conference on Parallel Architecture and Compilation Techniques, 2007. DOI: 10.1109/PACT.2007.4336211. 65, 72, 76
-
(2007)
Proc. of the 16th International Conference on Parallel Architecture and Compilation Techniques
-
-
Inoue, H.1
Moriyama, T.2
Komatsu, H.3
Nakatani, T.4
-
183
-
-
74549217758
-
Language classification using n-grams accelerated by fpgabased bloom filters
-
November 76
-
Arpith Jacob and Maya Gokhale. Language classification using n-grams accelerated by fpgabased bloom filters. In Proc. HPRCTA'07, November 2007. DOI: 10.1145/1328554.1328564. 76
-
(2007)
Proc. HPRCTA'07
-
-
Jacob, A.1
Gokhale, M.2
-
184
-
-
0038548185
-
Coordination of groups of mobile autonomous agents using nearest neighbor rules
-
June 16, 18
-
Ali Jadbabaie, Jie Lin, and A. Stephen Morse. Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Transactions on Automatic Control, 40(6), June 2003. DOI: 10.1109/TAC.2003.817537. 16, 18
-
(2003)
IEEE Transactions on Automatic Control
, vol.40
, Issue.6
-
-
Jadbabaie, A.1
Lin, J.2
Stephen Morse, A.3
-
186
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
abs/1408.5093 61
-
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, and Trevor Darrell. Caffe: Convolutional architecture for fast feature embedding. CoRR, abs/1408.5093, 2014. DOI: 10.1145/2647868.2654889. 61
-
(2014)
CoRR
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.B.6
Guadarrama, S.7
Darrell, T.8
-
188
-
-
84957069814
-
Text categorization with support vector machines: Learning with many relevant features
-
Berlin,. Springer 34, 35
-
T. Joachims. Text categorization with support vector machines: Learning with many relevant features. In European Conference on Machine Learning (ECML), pages 137-142, Berlin, 1998. Springer. DOI: 10.1007/BFb0026683. 34, 35
-
(1998)
European Conference on Machine Learning (ECML)
, pp. 137-142
-
-
Joachims, T.1
-
191
-
-
79953796513
-
Pandora and the music genome project
-
September. 9, 16, 18
-
John Joyce. Pandora and the Music Genome Project. Scientific Computing, 23(10):40-41, September 2006. 9, 16, 18
-
(2006)
Scientific Computing
, vol.23
, Issue.10
, pp. 40-41
-
-
Joyce, J.1
-
192
-
-
84863403456
-
Fpga acceleration of multifactor cdo pricing
-
May 63, 64
-
Alexander Kaganov, Asif Lakhany, and Paul Chow. Fpga acceleration of multifactor cdo pricing. ACM Trans. Reconfigurable Technol. Syst., 4(2), May 2011. DOI: 10.1145/1968502.1968511. 63, 64
-
(2011)
ACM Trans. Reconfigurable Technol. Syst.
, vol.4
, Issue.2
-
-
Kaganov, A.1
Lakhany, A.2
Chow, P.3
-
194
-
-
51249181779
-
A new polynomial-time algorithm for linear programming
-
39
-
N. Karmarkar. A new polynomial-time algorithm for linear programming. Combinatorica, 4: 373-395, 1984. DOI: 10.1007/BF02579150. 39
-
(1984)
Combinatorica
, vol.4
, pp. 373-395
-
-
Karmarkar, N.1
-
195
-
-
0000661829
-
An exploratory technique for investigating large quantities of categorical data
-
30
-
G. V. Kass. An exploratory technique for investigating large quantities of categorical data. Applied Statistics, 29(2):119-127, 1980. DOI: 10.2307/2986296. 30
-
(1980)
Applied Statistics
, vol.29
, Issue.2
, pp. 119-127
-
-
Kass, G.V.1
-
196
-
-
26444479778
-
Optimization by simulated annealing
-
41
-
S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi. Optimization by simulated annealing. Science, 220(4598):671-680, 1983. DOI: 10.1126/science.220.4598.671. 41
-
(1983)
Science
, vol.220
, Issue.4598
, pp. 671-680
-
-
Kirkpatrick, S.1
Gelatt, C.D.2
Vecchi, M.P.3
-
199
-
-
0003113325
-
Finding interesting rules from large sets of discovered association rules
-
19, 20
-
M. Klemettinen, H. Mannila, P. Ronkainen, H. Toivonen, and A. Verkamo. Finding interesting rules from large sets of discovered association rules. In Proc. of the 3rd Intl. Conf. on Information and Knowledge Management, 1994. DOI: 10.1145/191246.191314. 19, 20
-
(1994)
Proc. of the 3rd Intl. Conf. on Information and Knowledge Management
-
-
Klemettinen, M.1
Mannila, H.2
Ronkainen, P.3
Toivonen, H.4
Verkamo, A.5
-
202
-
-
51749084072
-
Kohonen network
-
28
-
Teuvo Kohonen and Timo Honkela. Kohonen network, 2007. Scholarpedia, 2(1):1568. 28
-
(2007)
Scholarpedia
, vol.2
, Issue.1
, pp. 1568
-
-
Kohonen, T.1
Honkela, T.2
-
204
-
-
85008044987
-
Matrix factorization techniques for recommender systems
-
23
-
Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. IEEE Computer, 42(8):30-37, 2009. DOI: 10.1109/MC.2009.263. 23
-
(2009)
IEEE Computer
, vol.42
, Issue.8
, pp. 30-37
-
-
Koren, Y.1
Bell, R.2
Volinsky, C.3
-
206
-
-
36749047332
-
Supervised machine learning: A review of classification techniques
-
29, 30
-
S. B. Kotsiantis. Supervised machine learning: A review of classification techniques. Informatica, 31:249-268, 2007. 29, 30
-
(2007)
Informatica
, vol.31
, pp. 249-268
-
-
Kotsiantis, S.B.1
-
208
-
-
67149084291
-
Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering
-
March 14
-
Hans-Peter Kriegel, Peer Kroger, and Arthur Zimek. Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. ACM Trans. Knowl. Discov. Data, 3:1:1-1:58, March 2009. DOI: 10.1145/1497577.1497578. 14
-
(2009)
ACM Trans. Knowl. Discov. Data
, vol.3
, pp. 11-158
-
-
Kriegel, H.1
Kroger, P.2
Zimek, A.3
-
211
-
-
0041654220
-
Multidimensional scaling by optimizing goodness of fit to a non metric hypothesis
-
14
-
J. Kruskal. Multidimensional scaling by optimizing goodness of fit to a non metric hypothesis. Psychometrika, 29(1):1-27, 1964. DOI: 10.1007/BF02289565. 14
-
(1964)
Psychometrika
, vol.29
, Issue.1
, pp. 1-27
-
-
Kruskal, J.1
-
212
-
-
84863995716
-
Gpu-accelerated non-negative matrix factorization for text mining
-
58
-
Volodymyr Kysenko, Karl Rupp, Oleksandr Marchenko, Siegfried Selberherr, and Anatoly Anisimov. Gpu-accelerated non-negative matrix factorization for text mining. In Proc. of the 17th International Conference on Applications of Natural Language Processing and Information Systems, 2012. DOI: 10.1007/978-3-642-31178-9-15. 58
-
(2012)
Proc. of the 17th International Conference on Applications of Natural Language Processing and Information Systems
-
-
Kysenko, V.1
Rupp, K.2
Marchenko, O.3
Selberherr, S.4
Anisimov, A.5
-
214
-
-
84946832236
-
Oracle's in-memory data management strategy: In-memory in all tiers, and for all workloads
-
August. 64, 65, 66
-
Tirthankar Lahiri. Oracle's in-memory data management strategy: In-memory in all tiers, and for all workloads. In Proc. of ADMS'14, Fifth International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures, August 2014. 64, 65, 66
-
(2014)
Proc. of ADMS'14, Fifth International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures
-
-
Lahiri, T.1
-
217
-
-
1142291601
-
Qc-trees: An efficient summary structure for semantic olap
-
June 53
-
Laks V.S. Lakshmanan, Jian Pei, and Yan Zhao. Qc-trees: An efficient summary structure for semantic olap. In Proc. of SIGMOD'03, June 2003. DOI: 10.1145/872757.872768. 53
-
(2003)
Proc. of SIGMOD'03
-
-
Lakshmanan, L.V.S.1
Pei, J.2
Zhao, Y.3
-
218
-
-
79951749297
-
Latent semantic analysis
-
35
-
Thomas K. Landauer and Susan Dumais. Latent semantic analysis. Scholarpedia, 3(11):4356, 2008. 35
-
(2008)
Scholarpedia
, vol.3
, Issue.11
, pp. 4356
-
-
Landauer, T.K.1
Dumais, S.2
-
219
-
-
80053431219
-
An introduction to latent semantic analysis
-
35
-
Thomas K. Landauer, Peter W. Foltz, and Darrell Laham. An introduction to latent semantic analysis. Discourse Processes, 25:259-298, 1998. DOI: 10.1080/01638539809545028. 35
-
(1998)
Discourse Processes
, vol.25
, pp. 259-298
-
-
Landauer, T.K.1
Foltz, P.W.2
Laham, D.3
-
220
-
-
84867135575
-
Building high-level features using large scale unsupervised learning
-
61, 75
-
Quoc Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg Corrado, Jeff Dean, and Andrew Ng. Building high-level features using large scale unsupervised learning. In International Conference in Machine Learning, 2012. DOI: 10.1109/ICASSP.2013.6639343. 61, 75
-
(2012)
International Conference in Machine Learning
-
-
Le, Q.1
Ranzato, M.2
Monga, R.3
Devin, M.4
Chen, K.5
Corrado, G.6
Dean, J.7
Ng, A.8
-
222
-
-
0002263996
-
Convolution networks for images, speech, and time-series
-
27
-
Y. LeCun and Y. Bengio. Convolution networks for images, speech, and time-series. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks, 1995. 27
-
(1995)
M. A. Arbib, Editor, the Handbook of Brain Theory and Neural Networks
-
-
LeCun, Y.1
Bengio, Y.2
-
223
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
27
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proc. of the IEEE, 86(11):2278-2324, 1998. DOI: 10.1109/5.726791. 27
-
(1998)
Proc. of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
224
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
22, 23, 35
-
Daniel Lee and Sabastian Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401:788-791, 1999. DOI: 10.1038/44565. 22, 23, 35
-
(1999)
Nature
, vol.401
, pp. 788-791
-
-
Lee, D.1
Seung, S.2
-
225
-
-
84898964201
-
Algorithms for non-negative matrix factorization
-
35
-
Daniel Lee and Sabastian Seung. Algorithms for non-negative matrix factorization. Adv. Neural Info. Proc. Systems, 13:556-562, 2001. 35
-
(2001)
Adv. Neural Info. Proc. Systems
, vol.13
, pp. 556-562
-
-
Lee, D.1
Seung, S.2
-
227
-
-
84952760942
-
-
Cambridge University Press,. 2nd ed., v2.1. 9, 46, 53
-
Jure Leskovec, Anand Rajaraman, and Jeffrey Ullman. Mining Massive Datasets. Cambridge University Press, 2014. 2nd ed., v2.1. 9, 46, 53
-
(2014)
Mining Massive Datasets
-
-
Leskovec, J.1
Rajaraman, A.2
Ullman, J.3
-
228
-
-
0034274591
-
A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
-
29, 30
-
T.-S. Lim, W.-Y. Loh, and Y.-S. Shih. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning, 40: 203-229, 2000. DOI: 10.1023/A:1007608224229. 29, 30
-
(2000)
Machine Learning
, vol.40
, pp. 203-229
-
-
Lim, T.-S.1
Loh, W.-Y.2
Shih, Y.-S.3
-
229
-
-
0037252945
-
Amazon.com recommendations: Item-toitem collaborative filtering
-
23
-
G. Linden, B. Smith, and J. York. Amazon.com recommendations: Item-toitem collaborative filtering. IEEE Internet Computing, 7(1):76-80, 2003. DOI: 10.1109/MIC.2003.1167344. 23
-
(2003)
IEEE Internet Computing
, vol.7
, Issue.1
, pp. 76-80
-
-
Linden, G.1
Smith, B.2
York, J.3
-
230
-
-
84939194962
-
Pudiannao: A polyvalent machine learning accelerator
-
March 62, 76
-
Daofu Liu, Tianshi Chen, Shaoli Liu, Jinhong Zhou, Shengyuan Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, and Yunji Chen. Pudiannao: A polyvalent machine learning accelerator. In Proc. of the 20th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'15), March 2015. DOI: 10.1145/2694344.2694358. 62, 76
-
(2015)
Proc. of the 20th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'15)
-
-
Liu, D.1
Chen, T.2
Liu, S.3
Zhou, J.4
Zhou, S.5
Temam, O.6
Feng, X.7
Zhou, X.8
Chen, Y.9
-
231
-
-
84898977963
-
An investigation of practical approximate nearest neighbor algorithms
-
18
-
Ting Liu, Andrew W. Moore, Alexander Gray, and Ke Yang. An investigation of practical approximate nearest neighbor algorithms. In Proc. of Neural Information Processing Systems, NIPS 2004, 2004. 18
-
(2004)
Proc. of Neural Information Processing Systems, NIPS 2004
-
-
Liu, T.1
Moore, A.W.2
Gray, A.3
Yang, K.4
-
232
-
-
33745369515
-
New algorithms for efficient highdimensional non-parametric classification
-
18
-
Ting Liu, Andrew W. Moore, and Alexander Gray. New algorithms for efficient highdimensional non-parametric classification. Journal of Machine Learning Research, 7:1135-1158, 2006. 18
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1135-1158
-
-
Liu, T.1
Moore, A.W.2
Gray, A.3
-
234
-
-
0041965869
-
Text classification using string kernels
-
25, 34, 35
-
Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, and Chris Watkins. Text classification using string kernels. Journal of Machine Learning Research, 2:419-444, 2002. DOI: 10.1162/153244302760200687. 25, 34, 35
-
(2002)
Journal of Machine Learning Research
, vol.2
, pp. 419-444
-
-
Lodhi, H.1
Saunders, C.2
Shawe-Taylor, J.3
Cristianini, N.4
Watkins, C.5
-
235
-
-
0031312210
-
Split selection methods for classification trees
-
29, 30
-
W.-Y. Loh and Y.-S. Shih. Split selection methods for classification trees. Statistica Sinica, 7: 815-840, 1997. 29, 30
-
(1997)
Statistica Sinica
, vol.7
, pp. 815-840
-
-
Loh, W.-Y.1
Shih, Y.-S.2
-
236
-
-
1642306090
-
Airline schedule planning: Integrated models and algorithms for schedule design and fleet assignment
-
February 9
-
Manoj Lohatepanont and Cynthia Barnhart. Airline Schedule Planning: Integrated Models and Algorithms for Schedule Design and Fleet Assignment. Transportation Science, 38(1), February 2004. DOI: 10.1287/trsc.1030.0026. 9
-
(2004)
Transportation Science
, vol.38
, Issue.1
-
-
Lohatepanont, M.1
Barnhart, C.2
-
237
-
-
77956545427
-
Eigenvector centrality mapping for analyzing connectivity patterns in fmri data of the human brain
-
46
-
Gabriele Lohmann, Daniel S. Margulies, Annette Horstmann, Burkhard Pleger, Joeran Lepsien, Dirk Goldhahn, Haiko Schloegl, Michael Stumvoll, Arno Villringer, and Robert Turner. Eigenvector centrality mapping for analyzing connectivity patterns in fmri data of the human brain. PLoS ONE, 5, 04 2010. DOI: 10.1371/journal.pone.0010232. 46
-
(2010)
PLoS ONE
, vol.5
, pp. 04
-
-
Lohmann, G.1
Margulies, D.S.2
Horstmann, A.3
Pleger, B.4
Lepsien, J.5
Goldhahn, D.6
Schloegl, H.7
Stumvoll, M.8
Villringer, A.9
Turner, R.10
-
238
-
-
33847169137
-
Comments on the "core Vector Machines: Fast SVM Training on Very Large Data Sets"
-
25
-
Gaelle Loosli and Stephane Canu. Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets". Journal of Machine Learning Research, 8:291-301, 2007. 25
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 291-301
-
-
Loosli, G.1
Canu, S.2
-
239
-
-
84876512847
-
Many-core accelerated libor swaption portfolio pricing
-
64
-
Jorg Lotze, Paul Sutton, and Hicham Lahlou. Many-core accelerated libor swaption portfolio pricing. SC Companion, pages 1185-1192, 2012. DOI: 10.1109/SC.Companion.2012.143. 64
-
(2012)
SC Companion
, pp. 1185-1192
-
-
Lotze, J.1
Sutton, P.2
Lahlou, H.3
-
240
-
-
84918781891
-
Accelerating spark with rdma for big data processing: Early experiences
-
August 70, 76
-
Xiaoyi Lu, Md. Wasi ur Rahman, Nusrat Islam, Dipti Shankar, and Dhabaleswar K. Panda. Accelerating spark with rdma for big data processing: Early experiences. In Proc. of 2014 IEEE 22nd Annual Symposium on High-Performance Interconnects, August 2014. DOI: 10.1109/HOTI.2014.15. 70, 76
-
(2014)
Proc. of 2014 IEEE 22nd Annual Symposium on High-Performance Interconnects
-
-
Lu, X.1
Wasi ur Rahman, Md.2
Islam, N.3
Shankar, D.4
Panda, D.K.5
-
246
-
-
0034366238
-
Optimizing database architecture for the new bottleneck: Memory access
-
December 65, 66
-
Stefan Manegold, Peter A. Boncz, and Martin L. Kersten. Optimizing database architecture for the new bottleneck: Memory access. The VLDB Journal, 9(3), December 2000. DOI: 10.1007/s007780000031. 65, 66
-
(2000)
The VLDB Journal
, vol.9
, Issue.3
-
-
Manegold, S.1
Boncz, P.A.2
Kersten, M.L.3
-
248
-
-
81055138684
-
-
May. McKinsey Global Institute. 9
-
James Manyika, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs, Charles Roxburgh, and Angela Hung Byers. Big data: The next frontier for innovation, competition, and productivity, May 2011. McKinsey Global Institute. 9
-
(2011)
Big Data: The Next Frontier for Innovation, Competition, and Productivity
-
-
Manyika, J.1
Chui, M.2
Brown, B.3
Bughin, J.4
Dobbs, R.5
Roxburgh, C.6
Hung Byers, A.7
-
249
-
-
0002692460
-
A new class of random number generators
-
37
-
George Marsaglia and Arif Zaman. A new class of random number generators. The Annals of Applied Probability, 1(3):462-480, 1991. DOI: 10.1214/aoap/1177005878. 37
-
(1991)
The Annals of Applied Probability
, vol.1
, Issue.3
, pp. 462-480
-
-
Marsaglia, G.1
Zaman, A.2
-
250
-
-
0001659901
-
Interior point methods for linear programming: Just call Newton, lagrange, and fiacco and mccormick
-
July-August 41
-
Roy Marsten, Radhika Subramanian, Matthew Saltzeman, Irvin Lustig, and David Shanno. Interior point methods for linear programming: Just call newton, lagrange, and fiacco and mccormick. Interfaces, The Practice of Mathematical Programming, 20(4), July-August 1990. DOI: 10.1287/inte.20.4.105. 41
-
(1990)
Interfaces, the Practice of Mathematical Programming
, vol.20
, Issue.4
-
-
Marsten, R.1
Subramanian, R.2
Saltzeman, M.3
Lustig, I.4
Shanno, D.5
-
251
-
-
0031599142
-
Mersenne twister: A 623-dimensionally equidistributed uniform pseudorandom number generator
-
January 37, 63, 64
-
M. Matsumoto and T. Nishimura. Mersenne twister: A 623-dimensionally equidistributed uniform pseudorandom number generator. ACM Transactions on Modeling and Computer Simulation, 8(1):3-30, January 1998. DOI: 10.1145/272991.272995. 37, 63, 64
-
(1998)
ACM Transactions on Modeling and Computer Simulation
, vol.8
, Issue.1
, pp. 3-30
-
-
Matsumoto, M.1
Nishimura, T.2
-
253
-
-
0001673996
-
A comparison of event models for naive bayes text classification
-
Technical Report WS-98-05. 35
-
Andrew McCallum and Kamal Nigam. A comparison of event models for naive bayes text classification. In AAAI/ICML-98 Workshop on Learning for Text Categorization, pages 41-48, 1998. Technical Report WS-98-05. 35
-
(1998)
AAAI/ICML-98 Workshop on Learning for Text Categorization
, pp. 41-48
-
-
McCallum, A.1
Nigam, K.2
-
255
-
-
0000561116
-
On the implementation of a primal-dual interior point method
-
41
-
S. Mehrotra. On the implementation of a primal-dual interior point method. SIAM Journal Optimization, 2:575-601, 1992. DOI: 10.1137/0802028. 41
-
(1992)
SIAM Journal Optimization
, vol.2
, pp. 575-601
-
-
Mehrotra, S.1
-
256
-
-
0036932094
-
Content-boosted collaborative filtering for improved recommendations
-
23
-
P. Melville, R. J. Mooney, and R. Nagarajan. Content-boosted collaborative filtering for improved recommendations. In Proc. of the Eighteenth National Conference on Artificial Intelligence (AAAI-02), Edmonton, Alberta, pages 187-192, 2002. 23
-
(2002)
Proc. of the Eighteenth National Conference on Artificial Intelligence (AAAI-02), Edmonton, Alberta
, pp. 187-192
-
-
Melville, P.1
Mooney, R.J.2
Nagarajan, R.3
-
258
-
-
80455149790
-
A digital neurosynaptic core using embedded crossbar memory with 45pj per spike in 45nm
-
September 62, 76
-
P. Merolla, J. Arthur, F. Akopyan, N. Imam, R. Manohar, and D. S. Modha. A digital neurosynaptic core using embedded crossbar memory with 45pj per spike in 45nm. In Proc. Custom Integrated Circuits Conference (CICC), September 2011. DOI: 10.1109/CICC.2011.6055294. 62, 76
-
(2011)
Proc. Custom Integrated Circuits Conference (CICC)
-
-
Merolla, P.1
Arthur, J.2
Akopyan, F.3
Imam, N.4
Manohar, R.5
Modha, D.S.6
-
259
-
-
79959718248
-
High performance and scalable radix sorting: A case study of implementing dynamic parallelism for GPU computing
-
72, 76
-
Duane Merrill and Andrew Grimshaw. High performance and scalable radix sorting: A case study of implementing dynamic parallelism for GPU computing. Parallel Processing Letters, 21(02):245-272, 2011. DOI: 10.1142/S0129626411000187. 72, 76
-
(2011)
Parallel Processing Letters
, vol.21
, Issue.2
, pp. 245-272
-
-
Merrill, D.1
Grimshaw, A.2
-
260
-
-
84858391043
-
Scalable gpu graph traversal
-
February 67, 68
-
Duane Merrill, Michael Garland, and Andrew Grimshaw. Scalable gpu graph traversal. In Proc. 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2012, February 2012. DOI: 10.1145/2370036.2145832. 67, 68
-
(2012)
Proc. 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2012
-
-
Merrill, D.1
Garland, M.2
Grimshaw, A.3
-
261
-
-
5744249209
-
Equations of state calculations by fast computing machines
-
37
-
N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller. Equations of state calculations by fast computing machines. Journal of Chemical Physics, 21(6):1087-1092, 1953. DOI: 10.1063/1.1699114. 37
-
(1953)
Journal of Chemical Physics
, vol.21
, Issue.6
, pp. 1087-1092
-
-
Metropolis, N.1
Rosenbluth, A.W.2
Rosenbluth, M.N.3
Teller, A.H.4
Teller, E.5
-
262
-
-
33745955275
-
The monte carlo method
-
September 36, 37
-
Nicholas Metropolis and Stanislav Ulam. The monte carlo method. Journal of the American Statistical Association, 44(247):335-341, September 1949. DOI: 10.1080/01621459.1949.10483310. 36, 37
-
(1949)
Journal of the American Statistical Association
, vol.44
, Issue.247
, pp. 335-341
-
-
Metropolis, N.1
Ulam, S.2
-
263
-
-
33748886906
-
Small-world networks and disturbed functional connectivity in schizophrenia
-
46
-
S. Micheloyannis, E. Pachou, C. Stam, M. Breakspear, P. Bitsios, M. Vourkas, S. Erimaki, and M. Zervakis. Small-world networks and disturbed functional connectivity in schizophrenia. Schizophrenia Research, 87(1-3):60-66, 2006. DOI: 10.1016/j.schres.2006.06.028. 46
-
(2006)
Schizophrenia Research
, vol.87
, Issue.1-3
, pp. 60-66
-
-
Micheloyannis, S.1
Pachou, E.2
Stam, C.3
Breakspear, M.4
Bitsios, P.5
Vourkas, M.6
Erimaki, S.7
Zervakis, M.8
-
266
-
-
85083951332
-
Efficient estimation of word representations in vector space
-
abs/1301.3781,. 34
-
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient estimation of word representations in vector space. CoRR, abs/1301.3781, 2013. 34
-
(2013)
CoRR
-
-
Mikolov, T.1
Chen, K.2
Corrado, G.3
Dean, J.4
-
267
-
-
0037174670
-
Network motifs: Simple building blocks of complex networks
-
October 44, 46
-
R. Milo, S. Shen-Orr, S. Itzkovitz, N. Kashtan, D. Chklovskii, and U. Alon. Network motifs: Simple building blocks of complex networks. Science, 298(5594):824-827, October 2002. DOI: 10.1126/science.298.5594.824. 44, 46
-
(2002)
Science
, vol.298
, Issue.5594
, pp. 824-827
-
-
Milo, R.1
Shen-Orr, S.2
Itzkovitz, S.3
Kashtan, N.4
Chklovskii, D.5
Alon, U.6
-
268
-
-
84944089297
-
IACT: A software-hardware framework for understanding the scope of approximate computing
-
73, 76
-
Asit K. Mishra, Rajkishore Barik, and Somnath Paul. iACT: A Software-Hardware Framework For Understanding the Scope of Approximate Computing. In Proc. of WACAS 2014, 2014. 73, 76
-
(2014)
Proc. of WACAS 2014
-
-
Mishra, A.K.1
Barik, R.2
Paul, S.3
-
269
-
-
84858633077
-
Boosting xml filtering with a scalable fpga-based architecture
-
January. 58
-
Abhishek Mitra, Marcos R. Vieira, Petko Bakalov, Walid Najjar, and Vassilis J. Tsotras. Boosting xml filtering with a scalable fpga-based architecture. In Proc. of the 4th Biennial Conference on Innovative Data Systems Research (CIDR), January 2009a. 58
-
(2009)
Proc. of the 4th Biennial Conference on Innovative Data Systems Research (CIDR)
-
-
Mitra, A.1
Vieira, M.R.2
Bakalov, P.3
Najjar, W.4
Tsotras, V.J.5
-
270
-
-
84858633077
-
Boosting XML filtering through a scalable FPGA-based architecture
-
Asilomar, CA, USA, 72, 76
-
Abhishek Mitra, Marcos R. Vieira, Petko Bakalov, Vassilis J. Tsotras, and Walid A. Najjar. Boosting XML filtering through a scalable FPGA-based architecture. In Fourth Biennial Conference on Innovative Data Systems Research, CIDR'09, Asilomar, CA, USA, 2009b. www.cidrdb.org. 72, 76
-
(2009)
Fourth Biennial Conference on Innovative Data Systems Research, CIDR'09
-
-
Mitra, A.1
Vieira, M.R.2
Bakalov, P.3
Tsotras, V.J.4
Najjar, W.A.5
-
274
-
-
77950955284
-
FPGA accelerated low-latency market data feed processing
-
Washington, DC, USA, IEEE Computer Society 64
-
Gareth W. Morris, David B. Thomas, and Wayne Luk. FPGA accelerated low-latency market data feed processing. In Proc. of the 2009 17th IEEE Symposium on High Performance Interconnects, HOTI '09, pages 83-89, Washington, DC, USA, 2009. IEEE Computer Society. DOI: 10.1109/HOTI.2009.17. 64
-
(2009)
Proc. of the 2009 17th IEEE Symposium on High Performance Interconnects, HOTI '09
, pp. 83-89
-
-
Morris, G.W.1
Thomas, D.B.2
Luk, W.3
-
276
-
-
0002431740
-
Automatic construction of decision trees from data: A multidisciplinary survey
-
28, 30
-
Sreerama K. Murthy. Automatic construction of decision trees from data: A multidisciplinary survey. Data Mining and Knowledge Discovery, 2:345-389, 1998. DOI: 10.1023/A:1009744630224. 28, 30
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, pp. 345-389
-
-
Murthy, S.K.1
-
277
-
-
84055225466
-
Customer churn analysis - A case study
-
Technical Research Centre of Finland,. 7
-
Teemu Mutanen. Customer churn analysis - a case study. Technical Report VTT-R-01184-06, Technical Research Centre of Finland, 2006. 7
-
(2006)
Technical Report VTT-R-01184-06
-
-
Mutanen, T.1
-
279
-
-
84975033887
-
Big data needs approximate computing: Technical perspective
-
December 73, 76
-
Ravi Nair. Big data needs approximate computing: Technical perspective. Commun. ACM, 58 (1):104-104, December 2014. DOI: 10.1145/2688072. 73, 76
-
(2014)
Commun. ACM
, vol.58
, Issue.1
, pp. 104
-
-
Nair, R.1
-
280
-
-
84891087813
-
Flexible query processor on fpgas
-
August 76
-
Mohammadreza Najafi, Mohammad Sadoghi, and Hans-Arno Jacobsen. Flexible query processor on fpgas. Proc. VLDB Endow., 6(12):1310-1313, August 2013. DOI: 10.14778/2536274.2536303. 76
-
(2013)
Proc. VLDB Endow.
, vol.6
, Issue.12
, pp. 1310-1313
-
-
Najafi, M.1
Sadoghi, M.2
Jacobsen, H.3
-
281
-
-
34547622829
-
On the structural properties of massive telecom call graphs: Findings and implications
-
November. 7, 45, 46
-
Amit A. Nanavati, Siva Gurumurthy, Gautam Das, Dipanjan Chakraborty, Koustuv Dasgupta, Sougata Mukherjea, and Anupam Joshi. On the structural properties of massive telecom call graphs: Findings and implications. In Proc. of the Conference on Information and Knowledge Management (CIKM'06), pages 435-444, November 2006. 7, 45, 46
-
(2006)
Proc. of the Conference on Information and Knowledge Management (CIKM'06)
, pp. 435-444
-
-
Nanavati, A.A.1
Gurumurthy, S.2
Das, G.3
Chakraborty, D.4
Dasgupta, K.5
Mukherjea, S.6
Joshi, A.7
-
283
-
-
2942655185
-
Complete search in continuous global optimization and constraint satisfaction
-
41
-
Arnold Neumaier. Complete search in continuous global optimization and constraint satisfaction. Acta Numerica, 2004. DOI: 10.1017/S0962492904000194. 41
-
(2004)
Acta Numerica
-
-
Neumaier, A.1
-
287
-
-
56349094668
-
Application of data mining techniques in customer relationship management: A literature review and classification
-
9
-
E. W. T. Ngai, L. Xiu, and D. C. K. Chau. Application of data mining techniques in customer relationship management: A literature review and classification. Expert Systems with Applications, 36:2592-2602, 2009. DOI: 10.1016/j.eswa.2008.02.021. 9
-
(2009)
Expert Systems with Applications
, vol.36
, pp. 2592-2602
-
-
Ngai, E.W.T.1
Xiu, L.2
Chau, D.C.K.3
-
290
-
-
85013848106
-
-
Academic Press, 9, 16, 18, 30, 33
-
Robert Nisbet, John Elder, and Gary Miner. Handbook of Statistical Analysis and Data Mining Applications. Academic Press, 2009. 9, 16, 18, 30, 33
-
(2009)
Handbook of Statistical Analysis and Data Mining Applications
-
-
Nisbet, R.1
Elder, J.2
Miner, G.3
-
292
-
-
33845703344
-
What is a support vector machine?
-
December 23, 25
-
William S. Noble. What is a support vector machine? Nature Biotechnology, 24(12), December 2006. DOI: 10.1038/nbt1206-1565. 23, 25
-
(2006)
Nature Biotechnology
, vol.24
, Issue.12
-
-
Noble, W.S.1
-
293
-
-
0043023536
-
Efficient algorithms with neural network behaviour
-
17, 18
-
S. M. Omohundro. Efficient algorithms with neural network behaviour. Journal of Complex Systems, 1(2):273-347, 1987. 17, 18
-
(1987)
Journal of Complex Systems
, vol.1
, Issue.2
, pp. 273-347
-
-
Omohundro, S.M.1
-
297
-
-
84975081479
-
-
14, 16, 20, 25, 30, 35
-
Oracle Corp. Oracle Data Miner 11g Release 2, b. 14, 16, 20, 25, 30, 35
-
Oracle Data Miner 11g Release 2, B.
-
-
Corp, O.1
-
298
-
-
84946878587
-
-
August. 61, 62, 76
-
Jian Ouyang, Shiding Lin, Wei Qi, Yong Wang, Bo Yu, and Song Jiang. Sda: Software-defined accelerator for large-scale dnn system, August 2014. 61, 62, 76
-
(2014)
Sda: Software-defined Accelerator for Large-scale Dnn System
-
-
Ouyang, J.1
Lin, S.2
Qi, W.3
Wang, Y.4
Yu, B.5
Jiang, S.6
-
299
-
-
84946878588
-
-
February. 61, 62, 76
-
Kalin Ovtcharov, Olatunji Ruwase, Joo-Young Kim, Jeremy Fowers, Karin Strauss, and Eric S. Chung. Accelerating deep convolutional neural networks using specialized hardware, February 2015. 61, 62, 76
-
(2015)
Accelerating Deep Convolutional Neural Networks Using Specialized Hardware
-
-
Ovtcharov, K.1
Ruwase, O.2
Kim, J.3
Fowers, J.4
Strauss, K.5
Chung, E.S.6
-
300
-
-
84966640167
-
-
November. Previous number = SIDL-WP-1999-0120. 46
-
Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. The pagerank citation ranking: Bringing order to the web. Technical Report 1999-66, Stanford InfoLab, November 1999. Previous number = SIDL-WP-1999-0120. 46
-
(1999)
The Pagerank Citation Ranking: Bringing Order to the Web. Technical Report 1999-66, Stanford InfoLab
-
-
Page, L.1
Brin, S.2
Motwani, R.3
Winograd, T.4
-
301
-
-
85141803251
-
Thumbs up? Sentiment classification using machine learning techniques
-
35
-
Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. Thumbs up? sentiment classification using machine learning techniques. In Processings of EMNLP, pages 79-86, 2002. DOI: 10.3115/1118693.1118704. 35
-
(2002)
Processings of EMNLP
, pp. 79-86
-
-
Pang, B.1
Lee, L.2
Vaithyanathan, S.3
-
303
-
-
84946878590
-
Potential future exposure and collateral modelling of the trading book using nvidia GPUs, March 2015
-
64
-
Grigorios Papamanousakis, Jinzhe Yang, and Grzegorz Kozikowski. Potential future exposure and collateral modelling of the trading book using nvidia gpus, March 2015. Nvidia Global Technology Conference. 64
-
Nvidia Global Technology Conference
-
-
Papamanousakis, G.1
Yang, J.2
Kozikowski, G.3
-
304
-
-
0033325071
-
A framework for collaborative, content-based and demographic filtering
-
23
-
M. J. Pazzani. A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review, 13(5-6):313-331, 1999. DOI: 10.1023/A:1006544522159. 23
-
(1999)
Artificial Intelligence Review
, vol.13
, Issue.5-6
, pp. 313-331
-
-
Pazzani, M.J.1
-
305
-
-
0031168547
-
Learning and revising user profiles: The identification of interesting web sites
-
23
-
M. J. Pazzani and D. Billsus. Learning and revising user profiles: The identification of interesting web sites. Machine Learning, 27(3):313-331, 1997. DOI: 10.1023/A:1007369909943. 23
-
(1997)
Machine Learning
, vol.27
, Issue.3
, pp. 313-331
-
-
Pazzani, M.J.1
Billsus, D.2
-
307
-
-
65549168742
-
Machine learning classifiers and fMRI: A tutorial overview
-
Mathematics in Brain Imaging 23
-
Francisco Pereira, Tom Mitchell, and Matthew Botvinick. Machine learning classifiers and fMRI: a tutorial overview. NeuroImage, 45(1):S199-S209, 2009. Mathematics in Brain Imaging. DOI: 10.1016/j.neuroimage.2008.11.007. 23
-
(2009)
NeuroImage
, vol.45
, Issue.1
, pp. S199-S209
-
-
Pereira, F.1
Mitchell, T.2
Botvinick, M.3
-
308
-
-
0029692966
-
Faster evaluation of financial derivatives
-
37
-
S. H. Peskov and J. F. Traub. Faster evaluation of financial derivatives. Journal of Portfolio Management, 22(1):113-120, 1995. DOI: 10.3905/jpm.1995.409541. 37
-
(1995)
Journal of Portfolio Management
, vol.22
, Issue.1
, pp. 113-120
-
-
Peskov, S.H.1
Traub, J.F.2
-
309
-
-
84867306359
-
Neuflow: Dataflow vision processing system-on-a-chip
-
2012.6292202. 61, 62, 72, 76
-
Phi-Hung Pham, Darko Jelaca, Clement Farabet, Berin Martini, Yann LeCun, and Eugenio Culurciello. Neuflow: Dataflow vision processing system-on-a-chip. In Proc. IEEE International Midwest Symposium on Circuits and systems, IEEE MWSCAS, 2012. DOI: 10.1109/MWSCAS. 2012.6292202. 61, 62, 72, 76
-
(2012)
Proc. IEEE International Midwest Symposium on Circuits and Systems, IEEE MWSCAS
-
-
Pham, P.1
Jelaca, D.2
Farabet, C.3
Martini, B.4
LeCun, Y.5
Culurciello, E.6
-
311
-
-
61949359014
-
Common pharmacophore identification using frequent clique detection algorithm
-
46
-
Yevgeniy Podolyan and George Karypis. Common pharmacophore identification using frequent clique detection algorithm. Journal of Chemical Information and Modeling, 2008. DOI: 10.1021/ci8002478. 46
-
(2008)
Journal of Chemical Information and Modeling
-
-
Podolyan, Y.1
Karypis, G.2
-
313
-
-
84905454486
-
A reconfigurable fabric for accelerating large-scale datacenter services
-
Piscataway, NJ, USA,. IEEE Press 72, 76
-
Andrew Putnam, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Prashanth Gopal, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, and Doug Burger. A reconfigurable fabric for accelerating large-scale datacenter services. In Proc. of the 41st Annual International Symposium on Computer Architecuture, ISCA '14, pages 13-24, Piscataway, NJ, USA, 2014. IEEE Press. http://dl.acm.org/citation.cfm?id=2665671. 2665678. DOI: 10.1145/2678373.2665678. 72, 76
-
(2014)
Proc. of the 41st Annual International Symposium on Computer Architecuture, ISCA '14
, pp. 13-24
-
-
Putnam, A.1
Caulfield, A.M.2
Chung, E.S.3
Chiou, D.4
Constantinides, K.5
Demme, J.6
Esmaeilzadeh, H.7
Fowers, J.8
Prashanth Gopal, G.9
Gray, J.10
Haselman, M.11
Hauck, S.12
Heil, S.13
Hormati, A.14
Kim, J.15
Lanka, S.16
Larus, J.17
Peterson, E.18
Pope, S.19
Smith, A.20
Thong, J.21
Yi Xiao, P.22
Burger, D.23
more..
-
314
-
-
33744584654
-
Induction of decision trees
-
March 29, 30
-
J. Ross Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, March 1986. DOI: 10.1023/A:1022643204877. 29, 30
-
(1986)
Machine Learning
, vol.1
, Issue.1
, pp. 81-106
-
-
Ross Quinlan, J.1
-
316
-
-
84889862615
-
Db2 with blu acceleration: So much more than just a column store
-
August 65, 66
-
Vijayshankar Raman, Gopi Attaluri, Ronald Barber, Naresh Chainani, David Kalmuk, Vincent KulandaiSamy, Jens Leenstra, Sam Lightstone, Shaorong Liu, Guy M. Lohman, Tim Malkemus, Rene Mueller, Ippokratis Pandis, Berni Schiefer, David Sharpe, Richard Sidle, Adam Storm, and Liping Zhang. Db2 with blu acceleration: So much more than just a column store. Proc. VLDB Endow., 6(11), August 2013. DOI: 10.14778/2536222.2536233. 65, 66
-
(2013)
Proc. VLDB Endow.
, vol.6
, Issue.11
-
-
Raman, V.1
Attaluri, G.2
Barber, R.3
Chainani, N.4
Kalmuk, D.5
KulandaiSamy, V.6
Leenstra, J.7
Lightstone, S.8
Liu, S.9
Lohman, G.M.10
Malkemus, T.11
Mueller, R.12
Pandis, I.13
Schiefer, B.14
Sharpe, D.15
Sidle, R.16
Storm, A.17
Zhang, L.18
-
318
-
-
84975064974
-
-
14, 16, 20, 25, 28, 30, 33, 35
-
Rapid-i. RapidMiner Data and Text Mining. rapid-i.com/. 14, 16, 20, 25, 28, 30, 33, 35
-
RapidMiner Data and Text Mining
-
-
-
320
-
-
78651341699
-
Predicting customer churn in mobile networks through analysis of social groups
-
2, 9, 45, 46
-
Yossi Richter, Elad Yom-Tov, and Noam Slonim. Predicting customer churn in mobile networks through analysis of social groups. In Procs. of the SIAM International Conference on Data Mining, SDM 2010, pages 732-741, 2010. 2, 9, 45, 46
-
(2010)
Procs. of the SIAM International Conference on Data Mining, SDM 2010
, pp. 732-741
-
-
Richter, Y.1
Yom-Tov, E.2
Slonim, N.3
-
324
-
-
79958755223
-
Efficient event processing through reconfigurable hardware for algorithmic trading
-
64
-
Mohammad Sadoghi, Martin Labrecque, Harsh Singh, Warren Shum, and Hans-Arno Jacobsen. Efficient event processing through reconfigurable hardware for algorithmic trading. Proc. of the VLDB Endowment, 3(2), 2010. DOI: 10.14778/1920841.1921029. 64
-
(2010)
Proc. of the VLDB Endowment
, vol.3
, Issue.2
-
-
Sadoghi, M.1
Labrecque, M.2
Singh, H.3
Shum, W.4
Jacobsen, H.5
-
330
-
-
84975066729
-
-
14, 16, 20, 25, 28, 30, 33
-
SAS Institute Inc. SAS Analytics. 14, 16, 20, 25, 28, 30, 33
-
SAS Analytics
-
-
SAS Institute Inc1
-
331
-
-
84973253430
-
An efficient algorithm for mining association rules in large databases
-
20
-
Ashok Savasere, Edward Omiecinski, and Shamkant Navathe. An efficient algorithm for mining association rules in large databases. In Proc. of the 21st VLDB Conference, pages 432-444, 1995. 20
-
(1995)
Proc. of the 21st VLDB Conference
, pp. 432-444
-
-
Savasere, A.1
Omiecinski, E.2
Navathe, S.3
-
335
-
-
84970913399
-
Fast sorted-set intersection using simd instructions
-
August. 58, 65, 66
-
Benjamin Schlegel, Thomas Willhalm, and Wolfgang Lehner. Fast sorted-set intersection using simd instructions. In Proc. of ADMS'11, Second International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures, August 2013. 58, 65, 66
-
(2013)
Proc. of ADMS'11, Second International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures
-
-
Schlegel, B.1
Willhalm, T.2
Lehner, W.3
-
336
-
-
84910651844
-
Deep learning in neural networks: An overview
-
abs/1404.7828 27, 61
-
J. Schmidhuber. Deep learning in neural networks: An overview. CoRR, abs/1404.7828, 2014. DOI: 10.1016/j.neunet.2014.09.003. 27, 61
-
(2014)
CoRR
-
-
Schmidhuber, J.1
-
339
-
-
84867847033
-
Dealing with data
-
February. 9
-
Science Special Issue. Dealing with data. Science, 331(6018), February 2011. 9
-
(2011)
Science
, vol.331
, Issue.6018
-
-
Science Special Issue1
-
340
-
-
0002442796
-
Machine learning in automated text categorization
-
34
-
Fabrizio Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34:1-47, 2002. DOI: 10.1145/505282.505283. 34
-
(2002)
ACM Computing Surveys
, vol.34
, pp. 1-47
-
-
Sebastiani, F.1
-
341
-
-
80455156136
-
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons
-
61, 62, 72, 76
-
Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D. Parker, Steven K. Esser, Robert K. Montoye, Bipin Rajendran, José A. Tierno, Leland Chang, Dharmendra S. Modha, and Daniel J. Friedman. A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons. In 2011 IEEE Custom Integrated Circuits Conference, CICC 2011, San Jose, CA, USA, Sept. 19-21, 2011, pages 1-4, 2011. DOI: 10.1109/CICC.2011.6055293. 61, 62, 72, 76
-
(2011)
2011 IEEE Custom Integrated Circuits Conference, CICC 2011, San Jose, CA, USA, Sept. 19-21, 2011
, pp. 1-4
-
-
Seo, J.1
Brezzo, B.2
Liu, Y.3
Parker, B.D.4
Esser, S.K.5
Montoye, R.K.6
Rajendran, B.7
Tierno, J.A.8
Chang, L.9
Modha, D.S.10
Friedman, D.J.11
-
343
-
-
79957454283
-
Accelerating search and recognition workloads with sse 4.2 string and text processing instructions
-
2011.5762731. 58
-
Guangyu Shi, Min Li, and Mikko Lipasti. Accelerating search and recognition workloads with sse 4.2 string and text processing instructions. In Proc. ISPASS'11, 2011. DOI: 10.1109/ISPASS. 2011.5762731. 58
-
(2011)
Proc. ISPASS'11
-
-
Shi, G.1
Li, M.2
Lipasti, M.3
-
345
-
-
34547706772
-
-
John Wiley & Sons Inc., 2nd ed. 9, 12, 14, 16, 30, 33
-
Galit Shmueli, Nitin R. Patel, and Peter C. Bruce. Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner. John Wiley & Sons Inc., 2010. 2nd ed. 9, 12, 14, 16, 30, 33
-
(2010)
Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner
-
-
Shmueli, G.1
Patel, N.R.2
Bruce, P.C.3
-
347
-
-
84891055251
-
Sap hana: The evolution from a modern main-memory data platform to an enterprise application platform
-
August 65, 66
-
Vishal Sikka, Franz Färber, Anil Goel, and Wolfgang Lehner. Sap hana: The evolution from a modern main-memory data platform to an enterprise application platform. Proc. VLDB Endow., 6(11), August 2013. DOI: 10.14778/2536222.2536251. 65, 66
-
(2013)
Proc. VLDB Endow.
, vol.6
, Issue.11
-
-
Sikka, V.1
Färber, F.2
Goel, A.3
Lehner, W.4
-
348
-
-
81555199208
-
Extracting insights from social media with large-scale matrix approximations
-
Sept-Oct 9
-
Vikas Sindhwani, Amol Ghoting, Edison Ting, and Richard Lawrence. Extracting insights from social media with large-scale matrix approximations. IBM Journal of Research and Development, 55(5):9:1-9:13, Sept-Oct 2011. DOI: 10.1147/JRD.2011.2163281. 9
-
(2011)
IBM Journal of Research and Development
, vol.55
, Issue.5
, pp. 91-913
-
-
Sindhwani, V.1
Ghoting, A.2
Ting, E.3
Lawrence, R.4
-
350
-
-
84946878603
-
Novel graph processor architecture
-
68, 72, 76
-
William S. Song, Jeremy Kepner, Vitaliy Gleyzer, Huy T. Nguyen, and Joshua I. Kramer. Novel graph processor architecture. Lincoln Laboratory Journal, 20(1), 2013. 68, 72, 76
-
(2013)
Lincoln Laboratory Journal
, vol.20
, Issue.1
-
-
Song, W.S.1
Kepner, J.2
Gleyzer, V.3
Nguyen, H.T.4
Kramer, J.I.5
-
353
-
-
34548151683
-
-
Celebral Cortex. 46
-
C. Stam, B. Jones, G. Nolte, M. Breakspear, and P. Scheltens. Small-world networks and functional connectivity in Alzheimer's disease, 2006. Celebral Cortex. 46
-
(2006)
Small-world Networks and Functional Connectivity in Alzheimer's Disease
-
-
Stam, C.1
Jones, B.2
Nolte, G.3
Breakspear, M.4
Scheltens, P.5
-
354
-
-
0032619115
-
Application of nearest-neighbor and cluster analyses in pharmaceutical lead discovery
-
16, 18
-
David T. Stanton, Timothy W. Morris, Siddhartha Roychoudhury, and Christian N. Parker. Application of nearest-neighbor and cluster analyses in pharmaceutical lead discovery. J. Chem. Inf. Comput. Sci., 39(1):21-27, 1999. DOI: 10.1021/ci9801015. 16, 18
-
(1999)
J. Chem. Inf. Comput. Sci.
, vol.39
, Issue.1
, pp. 21-27
-
-
Stanton, D.T.1
Morris, T.W.2
Roychoudhury, S.3
Parker, C.N.4
-
356
-
-
84975054071
-
Christos stergiou and dimitrios siganos
-
25, 28
-
Christos Stergiou and Dimitrios Siganos. Neural Networks. 25, 28
-
Neural Networks
-
-
-
358
-
-
84975085378
-
Multi-dimensional, in-gpu-memory databases: Streaming conditional calculations in big data sets
-
65
-
Peter Strohm. Multi-dimensional, in-gpu-memory databases: Streaming conditional calculations in big data sets, 2015. Nvidia Global Developer Conference. 65
-
(2015)
Nvidia Global Developer Conference
-
-
Strohm, P.1
-
360
-
-
77954418047
-
A survey of collaborative filetring techniques
-
23
-
X. Su and T. M. Khoshgoftaar. A survey of collaborative filetring techniques. In Advances in Artificial Intelligence, pages 1-20, 2009. DOI: 10.1155/2009/421425. 23
-
(2009)
Advances in Artificial Intelligence
, pp. 1-20
-
-
Su, X.1
Khoshgoftaar, T.M.2
-
362
-
-
84941122549
-
Going deeper with convolutions
-
abs/1409.4842, 59, 61
-
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. Going deeper with convolutions. CoRR, abs/1409.4842, 2014. 59, 61
-
(2014)
CoRR
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
366
-
-
32444450670
-
-
14, 16, 20, 25, 28, 30, 33, 46
-
The R Foundation. The R Foundation for Statistical Computing. www.r-project.org. 14, 16, 20, 25, 28, 30, 33, 46
-
The R Foundation for Statistical Computing
-
-
The R Foundation1
-
367
-
-
84975037080
-
-
14, 16, 20, 25, 28, 30, 33, 35
-
The StatSoft Inc. STATISTICA version 10. www.statsoft.com. 14, 16, 20, 25, 28, 30, 33, 35
-
STATISTICA Version 10
-
-
The StatSoft Inc1
-
368
-
-
67650723834
-
A comparison of cpus, GPUs, fpgas, and massively parallel processor arrays for random number generation
-
February 63, 64
-
David Thomas, Lee Howes, and Wayne Luk. A comparison of cpus, gpus, fpgas, and massively parallel processor arrays for random number generation. In Proc. of FPGA'09, February 2009. DOI: 10.1145/1508128.1508139. 63, 64
-
(2009)
Proc. of FPGA'09
-
-
Thomas, D.1
Howes, L.2
Luk, W.3
-
369
-
-
84946849149
-
Parallel parsers for context-free grammars: Two actual implementations compared
-
57, 58
-
Henry Thompson. Parallel parsers for context-free grammars: Two actual implementations compared. Parallel Natural Language Processing, pages 168-187, 1994. 57, 58
-
(1994)
Parallel Natural Language Processing
, pp. 168-187
-
-
Thompson, H.1
-
370
-
-
0010691873
-
The many facets of linear programming
-
39, 41
-
Michael J. Todd. The many facets of linear programming. Mathematical Programming, 91(3): 417-436, 2002. DOI: 10.1007/s101070100261. 39, 41
-
(2002)
Mathematical Programming
, vol.91
, Issue.3
, pp. 417-436
-
-
Todd, M.J.1
-
371
-
-
21844440579
-
Core vector machines: Fast SVM training on very large data sets
-
25
-
Ivor W. Tsang, James T. Kwok, and Pat-Ming Cheung. Core Vector Machines: Fast SVM Training on Very Large Data Sets. Journal of Machine Learning Research, 6:363-392, 2005. 25
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 363-392
-
-
Tsang, I.W.1
Kwok, J.T.2
Cheung, P.3
-
372
-
-
77954472324
-
Efficient pattern matching on GPUs for intrusion detection systems
-
Bertinoro, Italy,. ACM 76
-
Antonino Tumeo, Oreste Villa, and Donatella Sciuto. Efficient pattern matching on GPUs for intrusion detection systems. In Proc. of the 7th ACM international conference on Computing frontiers, CF '10, pages 87-88, Bertinoro, Italy, 2010. ACM. DOI: 10.1145/1787275.1787296. 76
-
(2010)
Proc. of the 7th ACM International Conference on Computing Frontiers, CF '10
, pp. 87-88
-
-
Tumeo, A.1
Villa, O.2
Sciuto, D.3
-
373
-
-
0026256261
-
Satisfying general proximity/similarity queries with metric trees
-
17, 18
-
Jeffrey K. Uhlmann. Satisfying general proximity/similarity queries with metric trees. Information Processing Letters, 40:175-179, 1991. DOI: 10.1016/0020-0190(91)90074-R. 17, 18
-
(1991)
Information Processing Letters
, vol.40
, pp. 175-179
-
-
Uhlmann, J.K.1
-
375
-
-
84975043529
-
Accelerating deep convolution neural networks for large-scale speech tasks using GPUs, March 2015
-
60, 61
-
Ewout van den Berg, Daniel Brand, Leonid Rachevsky, Rajesh Bordawekar, and Bhuvana Rambhadran. Accelerating deep convolution neural networks for large-scale speech tasks using gpus, March 2015. Nvidia Global Technology Conference. 60, 61
-
Nvidia Global Technology Conference.
-
-
Van Den Berg, E.1
Brand, D.2
Rachevsky, L.3
Bordawekar, R.4
Rambhadran, B.5
-
376
-
-
54149095921
-
Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain
-
44, 46
-
M. van den Heuvel, C. Stam, H. Boersma, and H. H. Pol. Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain. NeuroImage, 43 (3):528-539, 2008. DOI: 10.1016/j.neuroimage.2008.08.010. 44, 46
-
(2008)
NeuroImage
, vol.43
, Issue.3
, pp. 528-539
-
-
Heuvel Den Van, M.1
Stam, C.2
Boersma, H.3
Pol, H.H.4
-
378
-
-
0003991806
-
-
John Wiley, and Sons, Inc., New York,. 23, 25
-
Vladimir Vapnik. Statistical Learning Theory. John Wiley, and Sons, Inc., New York, 1998. 23, 25
-
(1998)
Statistical Learning Theory
-
-
Vapnik, V.1
-
379
-
-
84946878611
-
Fast convolutional nets with fbfft: A GPU performance evaluation
-
abs/1412.7580,. 59
-
Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, and Yann LeCun. Fast convolutional nets with fbfft: A GPU performance evaluation. CoRR, abs/1412.7580, 2014. 59
-
(2014)
CoRR
-
-
Vasilache, N.1
Johnson, J.2
Mathieu, M.3
Chintala, S.4
Piantino, S.5
LeCun, Y.6
-
382
-
-
84980324146
-
Oracle's sonoma processor: Advanced low-cost sparc processor for enterprise workloads, August 2015
-
66
-
Basant Vinaik and Rahoul Puri. Oracle's sonoma processor: Advanced low-cost sparc processor for enterprise workloads, August 2015. Hot Chips 27. 66
-
Hot Chips 27
-
-
Vinaik, B.1
Puri, R.2
-
383
-
-
84891524837
-
Optimizing IBM algorithmics' mark-to-future aggregation engine for real-time counterparty credit risk scoring
-
64
-
Amy Wang, Jan Treibig, Bob Blainey, Peng Wu, Yaoqing Gao, Barnaby Dalton, Danny Gupta, Fahham Khan, Neil Bartlett, Lior Velichover, James Sedgwick, and Louis Ly. Optimizing ibm algorithmics' mark-to-future aggregation engine for real-time counterparty credit risk scoring. In Proc. of the 6th Workshop on High Performance Computational Finance, WHPCF '13, 2013. DOI: 10.1145/2535557.2535567. 64
-
(2013)
Proc. of the 6th Workshop on High Performance Computational Finance, WHPCF '13
-
-
Wang, A.1
Treibig, J.2
Blainey, B.3
Wu, P.4
Gao, Y.5
Dalton, B.6
Gupta, D.7
Khan, F.8
Bartlett, N.9
Velichover, L.10
Sedgwick, J.11
Ly, L.12
-
384
-
-
77954400615
-
A code generation approach for auto-vectorization in the spade compiler
-
65
-
Huayong Wang, Henrique Andrade, Buǧra Gedik, and Kun-Lung Wu. A code generation approach for auto-vectorization in the spade compiler. In Proc. of the 22nd International Conference on Languages and Compilers for Parallel Computing, LCPC'09, 2010. DOI: 10.1007/978-3-642-13374-9-26. 65
-
(2010)
Proc. of the 22nd International Conference on Languages and Compilers for Parallel Computing, LCPC'09
-
-
Wang, H.1
Andrade, H.2
Gedik, B.3
Wu, K.4
-
387
-
-
84939210230
-
Gunrock: A high-performance graph processing library on the gpu
-
February 67, 68
-
Yangzihao Wang, Andrew Davidson, Yuechao Pan, Yuduo Wu, Andy Riffel, and John D. Owens. Gunrock: A high-performance graph processing library on the gpu. In Proc. 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2015, pages 265-266, February 2015. DOI: 10.1145/2688500.2688538. 67, 68
-
(2015)
Proc. 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2015
, pp. 265-266
-
-
Wang, Y.1
Davidson, A.2
Pan, Y.3
Wu, Y.4
Riffel, A.5
Owens, J.D.6
-
388
-
-
0032482432
-
Collective dynamics of 'small-world' networks
-
June 45, 46
-
Duncan J. Watts and Steven H. Strogatz. Collective dynamics of 'small-world' networks. Nature, 393:440-442, June 1998. DOI: 10.1038/30918. 45, 46
-
(1998)
Nature
, vol.393
, pp. 440-442
-
-
Watts, D.J.1
Strogatz, S.H.2
-
389
-
-
84946878615
-
Hardware accelerators for financial mathematics-methodology, results, and benchmarks
-
July. 62, 64
-
Norbert Wehn. Hardware accelerators for financial mathematics-methodology, results, and benchmarks. In Proc. 11th International Forum on Embedded MPSoC and Multicore, July 2011. 62, 64
-
(2011)
Proc. 11th International Forum on Embedded MPSoC and Multicore
-
-
Wehn, N.1
-
390
-
-
84946878616
-
Predictor-corrector methods
-
41
-
Eric W. Weisstein. Predictor-corrector methods. In MathWorld-A Wolfram Web Resource, http: //mathworld.wolfram.com/Predictor-CorrectorMethods.html, 2011. 41
-
(2011)
MathWorld-A Wolfram Web Resource
-
-
Weisstein, E.W.1
-
391
-
-
84880233928
-
Accelerating the computation of portfolios of tranched credit derivatives
-
November 64
-
S. Weston, J-T. Marin, J. Spooner, O. Pell, and O. Mencer. Accelerating the computation of portfolios of tranched credit derivatives. In Proc. IEEE Workshop on High Performance Computational Finance, November 2010. DOI: 10.1109/WHPCF.2010.5671822. 64
-
(2010)
Proc. IEEE Workshop on High Performance Computational Finance
-
-
Weston, S.1
Marin, J.-T.2
Spooner, J.3
Pell, O.4
Mencer, O.5
-
393
-
-
0028387642
-
Neural networks: Applications in industry, business and science
-
March 25, 28
-
Bernard Widrow, David E. Rumelhart, and Michael A. Lehr. Neural networks: applications in industry, business and science. Communications of the ACM, 37:93-105, March 1994. DOI: 10.1145/175247.175257. 25, 28
-
(1994)
Communications of the ACM
, vol.37
, pp. 93-105
-
-
Widrow, B.1
Rumelhart, D.E.2
Lehr, M.A.3
-
394
-
-
84975041581
-
-
18
-
wiki. Wikipedia. www.wikipedia.org. 18
-
-
-
-
395
-
-
84855233023
-
SIMD-scan: Ultra fast in-memory table scan using on-chip vector processing units
-
August 44
-
Thomas Willhalm, Nicolae Popovici, Yazan Boshmaf, Hasso Plattner, Alexander Zeier, and Jan Schaffner. SIMD-scan: ultra fast in-memory table scan using on-chip vector processing units. Proc. VLDB Endowment, 2:385-394, August 2009a. DOI: 10.14778/1687627.1687671. 44
-
(2009)
Proc. VLDB Endowment
, vol.2
, pp. 385-394
-
-
Willhalm, T.1
Popovici, N.2
Boshmaf, Y.3
Plattner, H.4
Zeier, A.5
Schaffner, J.6
-
396
-
-
84855233023
-
Simd-scan: Ultra fast in-memory table scan using on-chip vector processing units
-
August 65, 66
-
Thomas Willhalm, Nicolae Popovici, Yazan Boshmaf, Hasso Plattner, Alexander Zeier, and Jan Schaffner. Simd-scan: Ultra fast in-memory table scan using on-chip vector processing units. Proc. VLDB Endow., 2(1), August 2009b. DOI: 10.14778/1687627.1687671. 65, 66
-
(2009)
Proc. VLDB Endow.
, vol.2
, Issue.1
-
-
Willhalm, T.1
Popovici, N.2
Boshmaf, Y.3
Plattner, H.4
Zeier, A.5
Schaffner, J.6
-
397
-
-
84900624911
-
Red fox: An execution environment for relational query processing on GPUs
-
New York, USA,. ACM 72, 76
-
Haicheng Wu, Gregory Diamos, Tim Sheard, Molham Aref, Sean Baxter, Michael Garland, and Sudhakar Yalamanchili. Red fox: An execution environment for relational query processing on gpus. In Proc. of Annual IEEE/ACM International Symposium on Code Generation and Optimization, CGO '14, pages 44:44-44:54, New York, USA, 2014a. ACM. DOI: 10.1145/2581122.2544166. 72, 76
-
(2014)
Proc. of Annual IEEE/ACM International Symposium on Code Generation and Optimization, CGO '14
, pp. 4444-4454
-
-
Wu, H.1
Diamos, G.2
Sheard, T.3
Aref, M.4
Baxter, S.5
Garland, M.6
Yalamanchili, S.7
-
398
-
-
84900624911
-
Red fox: An execution environment for relational query processing on GPUs
-
August 65
-
Haicheng Wu, Gregory Diamos, Tim Sheard, Molham Aref, Sean Baxter, Michael Garland, and Sudhakar Yalamanchili. Red fox: An execution environment for relational query processing on gpus. In Proc. of ADMS'14, Fifth International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures, August 2014b. DOI: 10.1145/2544137.2544166. 65
-
(2014)
Proc. of ADMS'14, Fifth International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures
-
-
Wu, H.1
Diamos, G.2
Sheard, T.3
Aref, M.4
Baxter, S.5
Garland, M.6
Yalamanchili, S.7
-
399
-
-
84897819422
-
Q100: The Architecture and Design of a Database Processing Unit
-
March 66, 72
-
Lisa Wu, Andrea Lottarini, Timothy K. Paine, Martha A. Kim, and Kenneth A. Ross. Q100: The Architecture and Design of a Database Processing Unit. In Proc. of Conference on Architectural Support for Programming Languages and Operating Systems, March 2014c. DOI: 10.1145/2541940.2541961. 66, 72
-
(2014)
Proc. of Conference on Architectural Support for Programming Languages and Operating Systems
-
-
Wu, L.1
Lottarini, A.2
Paine, T.K.3
Kim, M.A.4
Ross, K.A.5
-
400
-
-
84946878620
-
Deep image: Scaling up image recognition
-
abs/1501.02876. 61, 75, 76
-
Ren Wu, Shengen Yan, Yi Shan, Qingqing Dang, and Gang Sun. Deep image: Scaling up image recognition. CoRR, abs/1501.02876, 2015. 61, 75, 76
-
(2015)
CoRR
-
-
Wu, R.1
Yan, S.2
Shan, Y.3
Dang, Q.4
Sun, G.5
-
401
-
-
37549018049
-
Top 10 algorithms in data mining
-
9, 14, 18, 30
-
Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, Hand David J, and Dan Steinberg. Top 10 algorithms in data mining. Knowledge Information Systems, 14:1-37, 2008. DOI: 10.1007/s10115-007-0114-2. 9, 14, 18, 30
-
(2008)
Knowledge Information Systems
, vol.14
, pp. 1-37
-
-
Wu, X.1
Kumar, V.2
Ross Quinlan, J.3
Ghosh, J.4
Yang, Q.5
Motoda, H.6
McLachlan, G.J.7
Ng, A.8
Liu, B.9
Yu, P.S.10
Zhou, Z.11
Steinbach, M.12
Hand David, J.13
Steinberg, D.14
-
405
-
-
84996522937
-
Document clustering based on non-negative matrix factorization
-
August 35
-
Wei Xu, Xin Liu, and Yihong Gong. Document clustering based on non-negative matrix factorization. In Proc. of SIGIR'03, August 2003. DOI: 10.1145/860435.860485. 35
-
(2003)
Proc. of SIGIR'03
-
-
Xu, W.1
Liu, X.2
Gong, Y.3
-
407
-
-
85080793869
-
Efficient parallel cky parsing on GPUs
-
October. 57, 58
-
Youngmin Yi, Chao-Yue Lai, Slav Petrov, and Kurt Keutzer. Efficient parallel cky parsing on gpus. In Proc. 2011 Conference on Parsing Technologies, October 2011. 57, 58
-
(2011)
Proc. 2011 Conference on Parsing Technologies
-
-
Yi, Y.1
Lai, C.2
Petrov, S.3
Keutzer, K.4
-
408
-
-
21944439686
-
New algorithms for fast discovery of association rules
-
20
-
Mohammed Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, and Wei Li. New algorithms for fast discovery of association rules. In Proc. of the 3rd Int'l Conf. on Knowledge Discovery and Data Mining, pages 283-286, 1997. DOI: 10.1023/A:1009773317876. 20
-
(1997)
Proc. of the 3rd Int'l Conf. on Knowledge Discovery and Data Mining
, pp. 283-286
-
-
Zaki, M.1
Parthasarathy, S.2
Ogihara, M.3
Li, W.4
-
409
-
-
0033718951
-
Scalable algorithms for association mining
-
20
-
Mohammed J. Zaki. Scalable algorithms for association mining. IEEE Transactions on Knowledge and Data Engineering, 12(3):372-390, 2000. DOI: 10.1109/69.846291. 20
-
(2000)
IEEE Transactions on Knowledge and Data Engineering
, vol.12
, Issue.3
, pp. 372-390
-
-
Zaki, M.J.1
-
410
-
-
84946878625
-
Clarifai: Enabling next geneation intelligent applications
-
61
-
Matthew Zeiler. Clarifai: Enabling next geneation intelligent applications. Nvidia GTC'14 Presentation. 61
-
Nvidia GTC'14 Presentation
-
-
Zeiler, M.1
-
411
-
-
84962921765
-
Optimizing fpga-based accelerator design for deep convolutional neural networks
-
February 61, 62, 76
-
Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, and Jason Cong. Optimizing fpga-based accelerator design for deep convolutional neural networks. In Proc. of 23rd International Symposium on Field-Programmable Gate Arrays (FPGA2015), February 2015. DOI: 10.1145/2684746.2689060. 61, 62, 76
-
(2015)
Proc. of 23rd International Symposium on Field-Programmable Gate Arrays (FPGA2015)
-
-
Zhang, C.1
Li, P.2
Sun, G.3
Guan, Y.4
Xiao, B.5
Cong, J.6
-
412
-
-
0030157145
-
Birch: An efficient data clustering method for very large databases
-
15, 16
-
Tian Zhang, Raghu Ramakrishnan, and Miron Livny. Birch: An efficient data clustering method for very large databases. In Proc. of the ACM SIGMOD Conference, 1996. DOI: 10.1145/235968.233324. 15, 16
-
(1996)
Proc. of the ACM SIGMOD Conference
-
-
Zhang, T.1
Ramakrishnan, R.2
Livny, M.3
-
414
-
-
24044537630
-
Hierarchical clustering algorithms for document datasets
-
34
-
Ying Zhao and George Karypis. Hierarchical clustering algorithms for document datasets. Data Mining and Knowledge Discovery, 10(2):141-168, 2005a. DOI: 10.1007/s10618-005-0361-3. 34
-
(2005)
Data Mining and Knowledge Discovery
, vol.10
, Issue.2
, pp. 141-168
-
-
Zhao, Y.1
Karypis, G.2
-
415
-
-
84880093929
-
Topic-driven clustering for document datasets
-
34, 35
-
Ying Zhao and George Karypis. Topic-driven clustering for document datasets. In SIAM International Conference on Data Mining, pages 358-369, 2005b. DOI: 10.1137/1.9781611972757.32. 34, 35
-
(2005)
SIAM International Conference on Data Mining
, pp. 358-369
-
-
Zhao, Y.1
Karypis, G.2
-
417
-
-
48249089255
-
Large-scale parallel collaborative filtering for the netflix prize
-
22, 23
-
Y. Zhou, D. Wilkinson, R. Schreiber, and R. Pan. Large-scale parallel collaborative filtering for the netflix prize. In Proc. of the 4th International Conference on Algorithmic Aspects in Information and Management, pages 337-348, 2008. DOI: 10.1007/978-3-540-68880-8-32. 22, 23
-
(2008)
Proc. of the 4th International Conference on Algorithmic Aspects in Information and Management
, pp. 337-348
-
-
Zhou, Y.1
Wilkinson, D.2
Schreiber, R.3
Pan, R.4
|