-
1
-
-
68749121819
-
Sparse probabilistic projections
-
D. Koller, D. Schuurmans, Y. Bengio & L. Bottou (Eds.Cambridge: MIT Press
-
Archambeau, C., & Bach, F. R. (2009). Sparse probabilistic projections. In D. Koller, D. Schuurmans, Y. Bengio & L. Bottou (Eds.), Advances in neural information processing systems (Vol. 21, pp. 73-80). Cambridge: MIT Press.
-
(2009)
Advances in Neural Information Processing Systems
, vol.21
, pp. 73-80
-
-
Archambeau, C.1
Bach, F.R.2
-
3
-
-
0041876117
-
Matching words and pictures
-
Barnard, K., Duygulu, P., Forsyth, D., de Freitas, N., Blei, D. M., & Jordan, M. I. (2003). Matching words and pictures. Journal of Machine Learning Research, 3, 1107-1135.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1107-1135
-
-
Barnard, K.1
Duygulu, P.2
Forsyth, D.3
De Freitas, N.4
Blei, D.M.5
Jordan, M.I.6
-
4
-
-
0026586030
-
Self-organizing neural network that discovers surfaces in random-dot stereograms
-
Becker, S., & Hinton, G. E. (1992). Self-organizing neural network that discovers surfaces in random-dot stereograms. Nature, 355, 161-163.
-
(1992)
Nature
, vol.355
, pp. 161-163
-
-
Becker, S.1
Hinton, G.E.2
-
6
-
-
0002617436
-
Ferguson distributions via Polya urn schemes
-
Blackwell, D., & MacQueen, J. B. (1973). Ferguson distributions via Polya urn schemes. The Annals of Statistics, 1(2), 353-355.
-
(1973)
The Annals of Statistics
, vol.1
, Issue.2
, pp. 353-355
-
-
Blackwell, D.1
Macqueen, J.B.2
-
8
-
-
0141607824
-
Latent Dirichlet allocation
-
Blei, D., Ng, A., Jordan, M., & Lafferty, J. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 993-1022
-
-
Blei, D.1
Ng, A.2
Jordan, M.3
Lafferty, J.4
-
9
-
-
17444392177
-
The missing link-A probabilistic model of document content and hypertext connectivity
-
Cambridge: MIT Press
-
Cohn, D., & Hoffman, T. (2001). The missing link-A probabilistic model of document content and hypertext connectivity. In T. Leen, T. Dietterich & V. Tresp (Eds.), Advances in neural information processing systems (Vol. 13). Cambridge: MIT Press.
-
(2001)
Advances in Neural Information Processing Systems
, vol.13
-
-
Cohn, D.1
Hoffman, T.2
-
10
-
-
77952375075
-
Information-theoretic co-clustering
-
New York: ACM Press
-
Dhillon, I. S., Mallela, S., & Modha, D. S. (2003). Information-theoretic co-clustering. In Proceedings of KDD'03, the ninth ACM SIGKDD international conference on knowledge discovery and data mining (pp. 89-98). New York: ACM Press.
-
(2003)
Proceedings of KDD'03, the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 89-98
-
-
Dhillon, I.S.1
Mallela, S.2
Modha, D.S.3
-
11
-
-
85162060060
-
A probabilistic model for generating realistic lip movements from speech
-
Cambridge: MIT Press
-
Englebienne, G., Cootes, T., & Rattray, M. (2008). A probabilistic model for generating realistic lip movements from speech. In J. Platt, D. Koller, Y. Singer & S. Roweis (Eds.), Advances in neural information processing systems (Vol. 20, pp. 401-408). Cambridge: MIT Press.
-
(2008)
Advances in Neural Information Processing Systems
, vol.20
, pp. 401-408
-
-
Englebienne, G.1
Cootes, T.2
Rattray, M.3
-
12
-
-
0033691754
-
Using Bayesian networks to analyze expression data
-
New York: ACM doi:10.1145/332306.332355
-
Friedman, N., Linial, M., Nachman, I., & Pe'er, D. (2000). Using Bayesian networks to analyze expression data. In RECOMB '00: Proceedings of the fourth annual international conference on computational molecular biology (pp. 127-135). New York: ACM. doi:10.1145/332306.332355.
-
(2000)
RECOMB '00: Proceedings of the Fourth Annual International Conference on Computational Molecular Biology
, pp. 127-135
-
-
Friedman, N.1
Linial, M.2
Nachman, I.3
Pe'er, D.4
-
13
-
-
0004012196
-
-
2nd ed.). London: Chapman and Hall
-
Gelman, A., Carlin, J., Stern, H., & Rubin, D. (2004). Bayesian data analysis (2nd ed.). London: Chapman and Hall.
-
(2004)
Bayesian Data Analysis
-
-
Gelman, A.1
Carlin, J.2
Stern, H.3
Rubin, D.4
-
17
-
-
55949104732
-
Probabilistic approach to detecting dependencies between data sets
-
doi:10.1016/j.neucom.2007.12.044
-
Klami, A., & Kaski, S. (2008). Probabilistic approach to detecting dependencies between data sets. Neurocomputing, 72, 39-46. doi:10.1016/j.neucom. 2007.12.044.
-
(2008)
Neurocomputing
, vol.72
, pp. 39-46
-
-
Klami, A.1
Kaski, S.2
-
18
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
Lee, D., & Seung, H. (1999). Learning the parts of objects by non-negative matrix factorization. Nature, 401, 788-791.
-
(1999)
Nature
, vol.401
, pp. 788-791
-
-
Lee, D.1
Seung, H.2
-
20
-
-
77950032550
-
Markov chain sampling methods for Dirichlet process mixture models
-
Neal, R. M. (2000). Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical statistics, 9(2), 249-265.
-
(2000)
Journal of Computational and Graphical Statistics
, vol.9
, Issue.2
, pp. 249-265
-
-
Neal, R.M.1
-
21
-
-
79955803023
-
The infinite Gaussian mixture model
-
Cambridge: MIT Press
-
Rasmussen, C. (2000). The infinite Gaussian mixture model. In S. A. Solla, T. K. Leen & K. R.Muller (Eds.), Advances in neural information processing Systems (Vol. 12, pp. 554-560). Cambridge: MIT Press.
-
(2000)
Advances in Neural Information Processing Systems
, vol.12
, pp. 554-560
-
-
Rasmussen, C.1
-
22
-
-
33847264343
-
Enrichment or depletion of a GO category within a class of genes: Which test?
-
DOI 10.1093/bioinformatics/btl633
-
Rivals, I., Personnaz, L., Taing, L., & Potier, M. C. (2007). Enrichment or depletion of a GO category within a class of genes: which test? Bioinformatics, 23(4), 401-407. (Pubitemid 46323119)
-
(2007)
Bioinformatics
, vol.23
, Issue.4
, pp. 401-407
-
-
Rivals, I.1
Personnaz, L.2
Taing, L.3
Potier, M.-C.4
-
23
-
-
42349110085
-
The nested Dirichlet process
-
Rodriguez, A., Dunson, D. B., & Gelfand, A. E. (2008). The nested Dirichlet process. Journal of the American Statistical Association, 103(483), 1131-1154.
-
(2008)
Journal of the American Statistical Association
, vol.103
, Issue.483
, pp. 1131-1154
-
-
Rodriguez, A.1
Dunson, D.B.2
Gelfand, A.E.3
-
24
-
-
57249105121
-
Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models
-
doi:10.1093/bioinformatics/btn553
-
Rogers, S., Girolami, M., Kolch, W., Waters, K. M., Liu, T., Thrall, B., & Wiley, H. S. (2008). Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models. Bioinformatics, 24(24), 2894-2900. doi:10.1093/bioinformatics/btn553.
-
(2008)
Bioinformatics
, vol.24
, Issue.24
, pp. 2894-2900
-
-
Rogers, S.1
Girolami, M.2
Kolch, W.3
Waters, K.M.4
Liu, T.5
Thrall, B.6
Wiley, H.S.7
-
25
-
-
79951641231
-
The Mondrian process
-
Cambridge: MIT Press
-
Roy, D. M., & Teh, Y.W. (2009). The Mondrian process. In D. Koller, D. Schuurmans, Y. Bengio & L. Bottou, (Eds.), Advances in neural information processing systems (Vol. 21, pp. 1377-1384). Cambridge: MIT Press.
-
(2009)
Advances in Neural Information Processing Systems
, vol.21
, pp. 1377-1384
-
-
Roy, D.M.1
Teh, Y.W.2
-
26
-
-
33749249312
-
Hierarchical Dirichlet processes
-
Teh, Y. W., Jordan, M. I., Beal, M. J., & Blei, D. M. (2006). Hierarchical Dirichlet processes. Journal of the American Statistical Association, 101, 1566-1581.
-
(2006)
Journal of the American Statistical Association
, vol.101
, pp. 1566-1581
-
-
Teh, Y.W.1
Jordan, M.I.2
Beal, M.J.3
Blei, D.M.4
-
28
-
-
84873588359
-
Inferring a semantic representation of text via cross-language correlation analysis
-
Cambridge: MIT Press
-
Vinokourov, A., Shawe-Taylor, J., & Cristianini, N. (2003b). Inferring a semantic representation of text via cross-language correlation analysis. In S. T. Becker & K. Obermayer (Eds.), Advances in neural information processing systems (Vol. 15, pp. 1473-1480). Cambridge: MIT Press.
-
(2003)
Advances in Neural Information Processing Systems
, vol.15
, pp. 1473-1480
-
-
Vinokourov, A.1
Shawe-Taylor, J.2
Cristianini, N.3
-
29
-
-
85080791055
-
Systems analysis of response of human mammary epithelial cells to egf by integration of gene expression and proteomic data
-
Waters, K., Liu, T., Quesnberry, R., Qian, W., Willse, A., Bandyopadhyay, S., Kathmann, L., Weber, T., Smith, R., Wiley, H., & Thrall, B. (2008). Systems analysis of response of human mammary epithelial cells to egf by integration of gene expression and proteomic data. Under submission.
-
(2008)
Under Submission
-
-
Waters, K.1
Liu, T.2
Quesnberry, R.3
Qian, W.4
Willse, A.5
Bandyopadhyay, S.6
Kathmann, L.7
Weber, T.8
Smith, R.9
Wiley, H.10
Thrall, B.11
-
30
-
-
85162019499
-
Infinite state Bayesian networks
-
Cambridge: MIT Press In J. Platt, D. Koller, Y. Singer &S. Roweis (Eds.
-
Welling, M., Porteous, I., & Bart, E. (2008). Infinite state Bayesian networks. In J. Platt, D. Koller, Y. Singer &S. Roweis (Eds.), Advances in neural information processing systems (Vol. 20, pp. 1601-1608). Cambridge: MIT Press.
-
(2008)
Advances in Neural Information Processing Systems
, vol.20
, pp. 1601-1608
-
-
Welling, M.1
Porteous, I.2
Bart, E.3
-
31
-
-
0040830539
-
-
Tech. Rep. 92-A03). Duke University, Institute of Statistics and Decision Sciences
-
West, M. (1992). Hyperparameter estimation in Dirichlet process mixtures (Tech. Rep. 92-A03). Duke University, Institute of Statistics and Decision Sciences. Research Council
-
(1992)
Hyperparameter Estimation in Dirichlet Process Mixtures
-
-
West, M.1
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