-
1
-
-
0029354779
-
Recent directions in netlist partitioning: A survey
-
C. J. Alpert and A. B. Kahng. Recent directions in netlist partitioning: A survey. Integration: The VLSI Journal, 19:1-18, 1995.
-
(1995)
Integration: The VLSI Journal
, vol.19
, pp. 1-18
-
-
Alpert, C.J.1
Kahng, A.B.2
-
2
-
-
0019648059
-
Computational methods for a mathematical theory of evidence
-
J.A. Barnett. Computational methods for a mathematical theory of evidence. In Proc. of IJCAI, pages 868-875, 1981.
-
(1981)
Proc. of IJCAI
, pp. 868-875
-
-
Barnett, J.A.1
-
3
-
-
0001298415
-
On the use of ordered sets in problems of comparison and consensus of classifications
-
J. P. Barthelemy, B. Laclerc, and B. Monjardet. On the use of ordered sets in problems of comparison and consensus of classifications. Journal of Classification, 3:225-256, 1986.
-
(1986)
Journal of Classification
, vol.3
, pp. 225-256
-
-
Barthelemy, J.P.1
Laclerc, B.2
Monjardet, B.3
-
5
-
-
0033323923
-
Partitioning-based clustering for web document categorization
-
D. Boley, M. Gini, R. Gross, E. Han, K. Hastings, G. Karypis, V. Kumar, B. Mobasher, and J. Moore. Partitioning-based clustering for web document categorization. Decision Support Systems, 27:329-341, 1999.
-
(1999)
Decision Support Systems
, vol.27
, pp. 329-341
-
-
Boley, D.1
Gini, M.2
Gross, R.3
Han, E.4
Hastings, K.5
Karypis, G.6
Kumar, V.7
Mobasher, B.8
Moore, J.9
-
7
-
-
0033220769
-
Effective supra-classifiers for knowledge base construction
-
November
-
Kurt D. Bollacker and Joydeep Ghosh. Effective supra-classifiers for knowledge base construction. Pattern Recognition Letters, 20(11-13):1347-52, November 1999.
-
(1999)
Pattern Recognition Letters
, vol.20
, Issue.11-13
, pp. 1347-1352
-
-
Bollacker, K.D.1
Ghosh, J.2
-
9
-
-
85153936556
-
Learning many related tasks at the same time with backpropagation
-
Rich Caruana. Learning many related tasks at the same time with backpropagation. In Advances in Neural Information Processing Systems 7, pages 657-664, 1995.
-
(1995)
Advances in Neural Information Processing Systems
, vol.7
, pp. 657-664
-
-
Caruana, R.1
-
10
-
-
0030242043
-
Scale based clustering using a radial basis function network
-
Sept
-
S. V. Chakaravathy and J. Ghosh. Scale based clustering using a radial basis function network. IEEE Transactions on Neural Networks, 2(5):1250-61, Sept 1996.
-
(1996)
IEEE Transactions on Neural Networks
, vol.2
, Issue.5
, pp. 1250-1261
-
-
Chakaravathy, S.V.1
Ghosh, J.2
-
12
-
-
0004197578
-
-
IEEE CS Press, Los Alamitos, CA
-
B. Dasarathy. Decision Fusion. IEEE CS Press, Los Alamitos, CA, 1994.
-
(1994)
Decision Fusion
-
-
Dasarathy, B.1
-
13
-
-
0034824884
-
Concept decompositions for large sparse text data using clustering
-
January
-
I. S. Dhillon and D. S. Modha. Concept decompositions for large sparse text data using clustering. Machine Learning, 42(1):143-175, January 2001.
-
(2001)
Machine Learning
, vol.42
, Issue.1
, pp. 143-175
-
-
Dhillon, I.S.1
Modha, D.S.2
-
14
-
-
80053403826
-
Ensemble methods in machine learning
-
J. Kittler and F. Roll, editors. LNCS, Springer
-
T. G. Dietterich. Ensemble methods in machine learning. In J. Kittler and F. Roll, editors, Multiple Classifier Systems, pages 1-15. LNCS Vol. 1857, Springer, 2001.
-
(2001)
Multiple Classifier Systems
, vol.1857
, pp. 1-15
-
-
Dietterich, T.G.1
-
15
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
M. Ester, H. Kriegel, J. Sander, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of 2nd International Conference on KDD, pages 226-231, 1996.
-
(1996)
Proceedings of 2nd International Conference on KDD
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.2
Sander, J.3
Xu, X.4
-
17
-
-
0029678997
-
Iterative optimization and simplification of hierarchical clusterings
-
Doug Fisher. Iterative optimization and simplification of hierarchical clusterings. Journal of Artificial Intelligence Research, 4:147-180, 1996.
-
(1996)
Journal of Artificial Intelligence Research
, vol.4
, pp. 147-180
-
-
Fisher, D.1
-
18
-
-
0001918328
-
Stemming algorithms
-
W. Frakes and R. Baeza-Yates, editors. Prentice Hall, New Jersey
-
W. Frakes. Stemming algorithms. In W. Frakes and R. Baeza-Yates, editors, Information Retrieval: Data Structures and Algorithms, pages 131-160. Prentice Hall, New Jersey, 1992.
-
(1992)
Information Retrieval: Data Structures and Algorithms
, pp. 131-160
-
-
Frakes, W.1
-
19
-
-
33845229615
-
Data clustering using evidence accumulation
-
page to appear
-
A. L. N. Fred and A. K. Jain. Data clustering using evidence accumulation. In Proc. ICPR, page to appear, 2002.
-
(2002)
Proc. ICPR
-
-
Fred, A.L.N.1
Jain, A.K.2
-
23
-
-
84925487039
-
Multiclassifier systems: Back to the future (invited paper)
-
F. Roli and J. Kittler, editors. LNCS, Springer
-
J. Ghosh. Multiclassifier systems: Back to the future (invited paper). In F. Roli and J. Kittler, editors, Multiple Classifier Systems, pages 1-15. LNCS Vol. 2364, Springer, 2002b.
-
(2002)
Multiple Classifier Systems
, vol.2364
, pp. 1-15
-
-
Ghosh, J.1
-
24
-
-
0042996871
-
A consensus framework for integrating distributed clusterings under limited knowledge sharing
-
Nov
-
J. Ghosh, A. Strehl, and S. Merugu. A consensus framework for integrating distributed clusterings under limited knowledge sharing. In Proc. NSF Workshop on Next Generation Data Mining, Baltimore, pages 99-108, Nov 2002.
-
(2002)
Proc. NSF Workshop on Next Generation Data Mining, Baltimore
, pp. 99-108
-
-
Ghosh, J.1
Strehl, A.2
Merugu, S.3
-
25
-
-
84984516669
-
Combining forecasts-twenty years later
-
C. W. J. Granger. Combining forecasts-twenty years later. Journal of Forecasting, 8(3): 167-173, 1989.
-
(1989)
Journal of Forecasting
, vol.8
, Issue.3
, pp. 167-173
-
-
Granger, C.W.J.1
-
26
-
-
0007286894
-
Clustering in a highdimensional space using hypergraph models
-
University of Minnesota, Department of Computer Science
-
E. Han, G. Karypis, V. Kumar, and B. Mobasher. Clustering in a highdimensional space using hypergraph models. Technical Report 97-019, University of Minnesota, Department of Computer Science, 1997.
-
(1997)
Technical Report
, vol.97
, Issue.19
-
-
Han, E.1
Karypis, G.2
Kumar, V.3
Mobasher, B.4
-
28
-
-
0015680655
-
Clustering using a similarity measure based on shared nearest neighbors
-
R. A. Jarvis and E. A. Patrick. Clustering using a similarity measure based on shared nearest neighbors. IEEE Transactions on Computers, C-22, No. 11:1025-1034, 1973.
-
(1973)
IEEE Transactions on Computers
, vol.C-22
, Issue.11
, pp. 1025-1034
-
-
Jarvis, R.A.1
Patrick, E.A.2
-
29
-
-
84949523513
-
Collective, hierarchical clustering from distributed, heterogeneous data
-
M. Zaki and C. Ho, editors, Large-Scale Parallel KDD Systems. Springer-Verlag
-
E. Johnson and H. Kargupta. Collective, hierarchical clustering from distributed, heterogeneous data. In M. Zaki and C. Ho, editors, Large-Scale Parallel KDD Systems, volume 1759 of Lecture Notes in Computer Science, pages 221-244. Springer-Verlag, 1999.
-
(1999)
Lecture Notes in Computer Science
, vol.1759
, pp. 221-244
-
-
Johnson, E.1
Kargupta, H.2
-
30
-
-
84947921814
-
Computing the local consensus of trees
-
S. Kannan, T. Warnow, and S. Yooseph. Computing the local consensus of trees. In Association for Computing Machinery and the Society of Industrial Applied Mathematics, Proceedings, ACM/SIAM Symposium on Discrete Algorithms, pages 68-77, 1995.
-
(1995)
Association for Computing Machinery and the Society of Industrial Applied Mathematics, Proceedings, ACM/SIAM Symposium on Discrete Algorithms
, pp. 68-77
-
-
Kannan, S.1
Warnow, T.2
Yooseph, S.3
-
32
-
-
85132267044
-
Distributed clustering using collective principal component analysis
-
H. Kargupta, W. Huang, Krishnamoorthy, and E. Johnson. Distributed clustering using collective principal component analysis. Knowledge and Information Systems Journal Special Issue on Distributed and Parallel Knowledge Discovery, 3:422-448, 2001.
-
(2001)
Knowledge and Information Systems Journal Special Issue on Distributed and Parallel Knowledge Discovery
, vol.3
, pp. 422-448
-
-
Kargupta, H.1
Huang, W.2
Krishnamoorthy3
Johnson, E.4
-
33
-
-
0010519048
-
Collective data mining: A new perspective toward distributed data mining
-
Hillol Kargupta and Philip Chan, editors. MIT/AAAI Press
-
H. Kargupta, B. Park, D. Hershberger, and E. Johnson. Collective data mining: A new perspective toward distributed data mining. In Hillol Kargupta and Philip Chan, editors, Advances in Distributed and Parallel Knowledge Discovery. MIT/AAAI Press, 1999.
-
(1999)
Advances in Distributed and Parallel Knowledge Discovery
-
-
Kargupta, H.1
Park, B.2
Hershberger, D.3
Johnson, E.4
-
34
-
-
0032686723
-
Chameleon: Hierarchical clustering using dynamic modeling
-
August
-
G. Karypis, E.-H. Han, and V. Kumar. Chameleon: Hierarchical clustering using dynamic modeling. IEEE Computer, 32(8):68-75, August 1999.
-
(1999)
IEEE Computer
, vol.32
, Issue.8
, pp. 68-75
-
-
Karypis, G.1
Han, E.-H.2
Kumar, V.3
-
35
-
-
0032131147
-
A fast and high quality multilevel scheme for partitioning irregular graphs
-
G. Karypis and V. Kumar. A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM Journal on Scientific Computing, 20(1):359-392, 1998.
-
(1998)
SIAM Journal on Scientific Computing
, vol.20
, Issue.1
, pp. 359-392
-
-
Karypis, G.1
Kumar, V.2
-
37
-
-
23044531296
-
Consensus decision trees: Using consensus hierarchical clustering for data relabelling and reduction
-
Proceedings of ECML 2001. Springer
-
Branko Kavšek, Nada Lavrač, and Anuška Ferligoj. Consensus decision trees: Using consensus hierarchical clustering for data relabelling and reduction. In Proceedings of ECML 2001, volume 2167 of LNAI, pages 251-262. Springer, 2001.
-
(2001)
LNAI
, vol.2167
, pp. 251-262
-
-
Kavšek, B.1
Lavrač, N.2
Ferligoj, A.3
-
38
-
-
84990479742
-
An efficient heuristic procedure for partitioning graphs
-
B. Kernighan and S. Lin. An efficient heuristic procedure for partitioning graphs. Bell Systems Technical Journal, 49:291-307, 1970.
-
(1970)
Bell Systems Technical Journal
, vol.49
, pp. 291-307
-
-
Kernighan, B.1
Lin, S.2
-
40
-
-
0007729457
-
Multiple classifier systems
-
Springer
-
J. Kittler and F. Roli, editors. Multiple Classifier Systems. LNCS Vol. 2634, Springer, 2002.
-
(2002)
LNCS
, vol.2634
-
-
Kittler, J.1
Roli, F.2
-
41
-
-
0003410791
-
-
Springer, Berlin, Heidelberg. Second Extended Edition 1997
-
Teuvo Kohonen. Self-Organizing Maps. Springer, Berlin, Heidelberg, 1995. (Second Extended Edition 1997).
-
(1995)
Self-Organizing Maps
-
-
Kohonen, T.1
-
42
-
-
85054435084
-
Neural network ensembles, cross validation and active learning
-
D.S. Touretzky G. Tesauro and T.K. Leen, editors
-
A. Krogh and J. Vedelsby. Neural network ensembles, cross validation and active learning. In D.S. Touretzky G. Tesauro and T.K. Leen, editors, Advances in Neural Information Processing Systems-7, pages 231-238, 1995.
-
(1995)
Advances in Neural Information Processing Systems-7
, pp. 231-238
-
-
Krogh, A.1
Vedelsby, J.2
-
43
-
-
0012296090
-
Multi-viewpoint clustering analysis (mvp-ca) technology for mission rule set development and case-based retrieval
-
Air Force Research Laboratory
-
Mala Mehrotra. Multi-viewpoint clustering analysis (mvp-ca) technology for mission rule set development and case-based retrieval. Technical Report AFRL-VS-TR-1999-1029, Air Force Research Laboratory, 1999.
-
(1999)
Technical Report
, vol.AFRL-VS-TR-1999-1029
-
-
Mehrotra, M.1
-
46
-
-
0000064923
-
Clustering and isolation in the consensus problem for partitions
-
D. A. Neumann and V. T. Norton. Clustering and isolation in the consensus problem for partitions. Journal of Classification, 3:281-298, 1986a.
-
(1986)
Journal of Classification
, vol.3
, pp. 281-298
-
-
Neumann, D.A.1
Norton, V.T.2
-
49
-
-
0041995203
-
A generalized kernel approach to dissimilarity-based classification
-
E. Pekalska, P. Paclik, and R.P.W. Duin. A generalized kernel approach to dissimilarity-based classification. Journal of Machine Learning Research, Special Issue on Kernel Methods, 2(2):175-211, 2002.
-
(2002)
Journal of Machine Learning Research, Special Issue on Kernel Methods
, vol.2
, Issue.2
, pp. 175-211
-
-
Pekalska, E.1
Paclik, P.2
Duin, R.P.W.3
-
50
-
-
0041802527
-
Experiments on the transfer of knowledge between neural networks
-
S. Hanson, G. Drastal, and R. Rivest, editors, chapter 19. MIT Press
-
Lorien Y. Pratt. Experiments on the transfer of knowledge between neural networks. In S. Hanson, G. Drastal, and R. Rivest, editors, Computational Learning Theory and Natural Learning Systems, Constraints and Prospects, chapter 19, pages 523-560. MIT Press, 1994.
-
(1994)
Computational Learning Theory and Natural Learning Systems, Constraints and Prospects
, pp. 523-560
-
-
Pratt, L.Y.1
-
51
-
-
0002522158
-
Meta-learning in distributed data mining systems: Issues and approaches
-
H. Kargupta and P. Chan, editors. AAAI/MIT Press, Cambridge, MA
-
A. Prodromidis, P. Chan, and S. Stolfo. Meta-learning in distributed data mining systems: Issues and approaches. In H. Kargupta and P. Chan, editors, Advances in Distributed and Parallel Knowledge Discovery. AAAI/MIT Press, Cambridge, MA, 2000.
-
(2000)
Advances in Distributed and Parallel Knowledge Discovery
-
-
Prodromidis, A.1
Chan, P.2
Stolfo, S.3
-
52
-
-
0001595997
-
Neural network classifiers estimate bayesian a posteriori probabilities
-
M.D. Richard and R.P. Lippmann. Neural network classifiers estimate bayesian a posteriori probabilities. Neural Computation, 3(4):461-483, 1991.
-
(1991)
Neural Computation
, vol.3
, Issue.4
, pp. 461-483
-
-
Richard, M.D.1
Lippmann, R.P.2
-
53
-
-
0030372023
-
On combining artificial neural networks
-
A. Sharkey. On combining artificial neural networks. Connection Science, 8(3/4):299-314, 1996.
-
(1996)
Connection Science
, vol.8
, Issue.3-4
, pp. 299-314
-
-
Sharkey, A.1
-
56
-
-
84899004693
-
Agglomerative information bottleneck
-
MIT Press
-
N. Slonim and N. Tishby. Agglomerative information bottleneck. In Proc. of NIPS-12, pages 617-623. MIT Press, 2000.
-
(2000)
Proc. of NIPS-12
, pp. 617-623
-
-
Slonim, N.1
Tishby, N.2
-
57
-
-
0036931833
-
Cluster ensembles - A knowledge reuse framework for combining partitionings
-
AAAI, July
-
A. Strehl and J. Ghosh. Cluster ensembles - a knowledge reuse framework for combining partitionings. In Proceedings of AAAI 2002, Edmonton, Canada, pages 93-98. AAAI, July 2002a.
-
(2002)
Proceedings of AAAI 2002, Edmonton, Canada
, pp. 93-98
-
-
Strehl, A.1
Ghosh, J.2
-
58
-
-
84947579437
-
A scalable approach to balanced, high-dimensional clustering of market-baskets
-
Proc. HiPC 2000, Bangalore. Springer, December
-
Alexander Strehl and Joydeep Ghosh. A scalable approach to balanced, high-dimensional clustering of market-baskets. In Proc. HiPC 2000, Bangalore, volume 1970 of LNCS, pages 525-536. Springer, December 2000.
-
(2000)
LNCS
, vol.1970
, pp. 525-536
-
-
Strehl, A.1
Ghosh, J.2
-
59
-
-
2542587466
-
Relationship-based clustering and visualization for high-dimensional data mining
-
in press
-
Alexander Strehl and Joydeep Ghosh. Relationship-based clustering and visualization for high-dimensional data mining. INFORMS Journal on Computing, 2002b. in press.
-
(2002)
INFORMS Journal on Computing
-
-
Strehl, A.1
Ghosh, J.2
-
60
-
-
0002788820
-
Impact of similarity measures on web-page clustering
-
AAAI, July
-
Alexander Strehl, Joydeep Ghosh, and Raymond Mooney. Impact of similarity measures on web-page clustering. In Proc. AAAI Workshop on AI for Web Search (AAAI 2000), Austin, pages 58-64. AAAI, July 2000.
-
(2000)
Proc. AAAI Workshop on AI for Web Search (AAAI 2000), Austin
, pp. 58-64
-
-
Strehl, A.1
Ghosh, J.2
Mooney, R.3
-
61
-
-
85031124575
-
Is learning the n-th thing any easier than learning the first?
-
M.C. Mozer D.S. Touretzky and M. E. Hasselmo, editors. MIT Press, Cambridge, MA
-
S. Thrun. Is learning the n-th thing any easier than learning the first? In M.C. Mozer D.S. Touretzky and M. E. Hasselmo, editors, Advances in Neural Information Processing Systems-8, pages 640-646. MIT Press, Cambridge, MA, 1996.
-
(1996)
Advances in Neural Information Processing Systems-8
, pp. 640-646
-
-
Thrun, S.1
-
64
-
-
0001562581
-
Linear and order statistics combiners for pattern classification
-
A. Sharkey, editor. Springer-Verlag
-
K. Turner and J. Ghosh. Linear and order statistics combiners for pattern classification. In A. Sharkey, editor, Combining Artificial Neural Nets, pages 127-162. Springer-Verlag, 1999.
-
(1999)
Combining Artificial Neural Nets
, pp. 127-162
-
-
Turner, K.1
Ghosh, J.2
|