-
1
-
-
84865760173
-
Online inference for the infinite topic-cluster model: Storylines from streaming text
-
A. Ahmed, Q. Ho, C. H. Teo, J. Eisenstein, A. J. Smola and E. P. Xing. Online Inference for The Infinite Topic-cluster model: Storylines from Streaming Text. In Artificial Intelligence and Statistics AISTATS, 2011.
-
(2011)
Artificial Intelligence and Statistics AISTATS
-
-
Ahmed, A.1
Ho, Q.2
Teo, C.H.3
Eisenstein, J.4
Smola, A.J.5
Xing, E.P.6
-
2
-
-
80052659792
-
Scalable inference of dynamic user interests for behavioural targeting
-
submitted
-
A. Ahmed, Y. Low, M. Aly, V. Josifovski, and A. Smola. Scalable inference of dynamic user interests for behavioural targeting. In Knowledge Discovery and Data Mining, 2011. submitted.
-
(2011)
Knowledge Discovery and Data Mining
-
-
Ahmed, A.1
Low, Y.2
Aly, M.3
Josifovski, V.4
Smola, A.5
-
3
-
-
84858773678
-
Asynchronous distributed learning of topic models
-
D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors. MIT Press
-
A. Asuncion, P. Smyth, and M. Welling. Asynchronous distributed learning of topic models. In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors, NIPS, pages 81-88. MIT Press, 2008.
-
(2008)
NIPS
, pp. 81-88
-
-
Asuncion, A.1
Smyth, P.2
Welling, M.3
-
5
-
-
80053451705
-
Parallel coordinate descent for l1-regularized loss minimization
-
Bellevue, WA
-
J. K. Bradley, A. Kyrola, D. Bickson, and C. Guestrin. Parallel coordinate descent for l1-regularized loss minimization. In International Conference on Machine Learning ICML, Bellevue, WA, 2011.
-
(2011)
International Conference on Machine Learning ICML
-
-
Bradley, J.K.1
Kyrola, A.2
Bickson, D.3
Guestrin, C.4
-
6
-
-
65449144821
-
Combinational collaborative filtering for personalized community recommendation
-
Y. Li, B. Liu, and S. Sarawagi, editors
-
W. Chen, D. Zhang, and E. Chang. Combinational collaborative filtering for personalized community recommendation. In Y. Li, B. Liu, and S. Sarawagi, editors, Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 115-123. ACM, 2008.
-
(2008)
ACM, Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 115-123
-
-
Chen, W.1
Zhang, D.2
Chang, E.3
-
9
-
-
0021518209
-
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images
-
S. Geman and D. Geman. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6:721-741, 1984. (Pubitemid 15453722)
-
(1984)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.PAMI-6
, Issue.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
12
-
-
0030704545
-
Consistent hashing and random trees: Distributed caching protocols for relieving hot spots on the world wide web
-
New York, May. Association for Computing Machinery
-
D. Karger, E. Lehman, T. Leighton, M. Levine, D. Lewin, and R. Panigrahy. Consistent hashing and random trees: Distributed caching protocols for relieving hot spots on the world wide web. In Symposium on the Theory of Computing STOC, pages 654-663, New York, May 1997. Association for Computing Machinery.
-
(1997)
Symposium on the Theory of Computing STOC
, pp. 654-663
-
-
Karger, D.1
Lehman, E.2
Leighton, T.3
Levine, M.4
Lewin, D.5
Panigrahy, R.6
-
13
-
-
81455158564
-
GraphLab: A new parallel framework for machine learning
-
Y. Low, J. Gonzalez, A. Kyrola, D. Bickson, C. Guestrin, and J. M. Hellerstein. GraphLab: A new parallel framework for machine learning. In Conference on Uncertainty in Artificial Intelligence, 2010.
-
(2010)
Conference on Uncertainty in Artificial Intelligence
-
-
Low, Y.1
Gonzalez, J.2
Kyrola, A.3
Bickson, D.4
Guestrin, C.5
Hellerstein, J.M.6
-
14
-
-
0023984964
-
How to construct pseudorandom permutations from pseudorandom functions
-
M. Luby and C. Rackoff. How to construct pseudorandom permutations from pseudorandom functions. SIAM Journal on Computing, 17(2):373-386, 1988.
-
(1988)
SIAM Journal on Computing
, vol.17
, Issue.2
, pp. 373-386
-
-
Luby, M.1
Rackoff, C.2
-
15
-
-
0030569684
-
Criticality and parallelization in combinatorial optimization
-
W. Macready, A. Siapas, and S. Kauffman. Criticality and parallelization in combinatorial optimization. Science, 271:56-59, 1996.
-
(1996)
Science
, vol.271
, pp. 56-59
-
-
MacReady, W.1
Siapas, A.2
Kauffman, S.3
-
16
-
-
84976718540
-
Algorithms for scalable synchronization on shared-memory multiprocessors
-
Feb
-
J. Mellor-Crummey and M. Scott. Algorithms for scalable synchronization on shared-memory multiprocessors. ACM Transactions on Computer Systems, 9(1):21-65, Feb. 1991.
-
(1991)
ACM Transactions on Computer Systems
, vol.9
, Issue.1
, pp. 21-65
-
-
Mellor-Crummey, J.1
Scott, M.2
-
17
-
-
70349433731
-
Distributed algorithms for topic models
-
D. Newman, A. Asuncion, P. Smyth, and M. Welling. Distributed algorithms for topic models. Journal of Machine Learning Research, 10:1801-1828, 2009.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 1801-1828
-
-
Newman, D.1
Asuncion, A.2
Smyth, P.3
Welling, M.4
-
20
-
-
77956519108
-
Forgetting counts : CCConstant memory inference for a dependent hierarchical pitman-yor process
-
N. Bartlett, D. Pfau, and F. Wood. Forgetting counts : Constant Memory inference for a dependent hierarchical Pitman-Yor Process In ICML, 2010.
-
(2010)
ICML
-
-
Bartlett, N.1
Pfau, D.2
Wood, F.3
-
21
-
-
34248381219
-
Bayesian haplotype inference via the dirichlet process
-
DOI 10.1089/cmb.2006.0102
-
E. Xing, M. Jordan, and R. Sharan. Bayesian haplotype inference via the dirichlet process. Journal of Computational Biology, 14(3):267-284, 2007. (Pubitemid 46742185)
-
(2007)
Journal of Computational Biology
, vol.14
, Issue.3
, pp. 267-284
-
-
Xing, E.P.1
Jordan, M.I.2
Sharan, R.3
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