-
5
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Series B
-
A. Dempster, N. Laird, and D. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39: 1-38, 1977.
-
(1977)
Journal of the Royal Statistical Society
, vol.39
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
6
-
-
21644435901
-
Bayesian latent variable models for mixed discrete outcomes
-
D. B Dunson and A. H. Herring. Bayesian latent variable models for mixed discrete outcomes. Biostatistics, 6(1): 11-25, 2005.
-
(2005)
Biostatistics
, vol.6
, Issue.1
, pp. 11-25
-
-
Dunson, D.B.1
Herring, A.H.2
-
8
-
-
84898934543
-
Variational inference for Bayesian mixtures of factor analysers
-
Z. Ghahramani and M. Beal. Variational inference for Bayesian mixtures of factor analysers. In Neural Information Processing Systems, Volume 12, 2000.
-
(2000)
Neural Information Processing Systems
, vol.12
-
-
Ghahramani, Z.1
Beal, M.2
-
10
-
-
84878919168
-
Stochastic variational inference
-
M. Hoffman, D. Blei, C. Wang, and J. Paisley. Stochastic variational inference. Journal of Machine Learning Research, 14: 1303-1347, 2013.
-
(2013)
Journal of Machine Learning Research
, vol.14
, pp. 1303-1347
-
-
Hoffman, M.1
Blei, D.2
Wang, C.3
Paisley, J.4
-
13
-
-
79957601640
-
Mendeley's reply to the datatel challenge
-
K. Jack, J. Hammerton, D. Harvey, J. J. Hoyt, J. Reichelt, and V. Henning. Mendeley's reply to the datatel challenge. Procedia Computer Science, 1(2): 1-3, 2010. URL http://www.mendeley.com/research/sei-whale/.
-
(2010)
Procedia Computer Science
, vol.1
, Issue.2
, pp. 1-3
-
-
Jack, K.1
Hammerton, J.2
Harvey, D.3
Hoyt, J.J.4
Reichelt, J.5
Henning, V.6
-
15
-
-
0033225865
-
Introduction to variational methods for graphical models
-
M. Jordan, Z. Ghahramani, T. Jaakkola, and L. Saul. Introduction to variational methods for graphical models. Machine Learning, 37: 183-233, 1999.
-
(1999)
Machine Learning
, vol.37
, pp. 183-233
-
-
Jordan, M.1
Ghahramani, Z.2
Jaakkola, T.3
Saul, L.4
-
18
-
-
79951750366
-
Generalized probabilistic matrix factorizations for collaborative filtering
-
2010 IEEE 10th International Conference on IEEE
-
H. Shan and A. Banerjee. Generalized probabilistic matrix factorizations for collaborative filtering. In Data Mining (ICDM), 2010 IEEE 10th International Conference on, pages 1025-1030. IEEE, 2010.
-
(2010)
Data Mining (ICDM)
, pp. 1025-1030
-
-
Shan, H.1
Banerjee, A.2
-
20
-
-
80052666619
-
Collaborative topic modeling for recommending scientific articles
-
C. Wang and D. Blei. Collaborative topic modeling for recommending scientific articles. In Knowledge Discovery and Data Mining, 2011.
-
(2011)
Knowledge Discovery and Data Mining
-
-
Wang, C.1
Blei, D.2
-
22
-
-
84877756924
-
Joint modeling of a matrix with associated text via latent binary features
-
X. Zhang and L. Carin. Joint modeling of a matrix with associated text via latent binary features. In Advances in Neural Information Processing Systems, pages 1556-1564, 2012.
-
(2012)
Advances in Neural Information Processing Systems
, pp. 1556-1564
-
-
Zhang, X.1
Carin, L.2
|