-
2
-
-
67049135504
-
-
Technical report, arXiv:0705.4485v1 [stat.ME]
-
E. Airoldi, D. Blei, S. Fienberg, and E. Xing. Mixed membership stochastic blockmodels. Technical report, arXiv:0705.4485v1 [stat.ME], 2007.
-
(2007)
Mixed Membership Stochastic Blockmodels
-
-
Airoldi, E.1
Blei, D.2
Fienberg, S.3
Xing, E.4
-
3
-
-
34548691246
-
A generalized maximum entropy approach to Bregman Co-clustering and matrix approximation
-
A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu, and D.Modha. A generalized maximum entropy approach to Bregman coclustering and matrix approximation. JMLR, 8:1919-1986, 2007. (Pubitemid 47416225)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1919-1986
-
-
Banerjee, A.1
Dhillon, I.2
Ghosh, J.3
Merugu, S.4
Modha, D.S.5
-
4
-
-
26244461684
-
Clustering with Bregman divergences
-
A. Banerjee, S. Merugu, I. Dhillon, and J. Ghosh. Clustering with Bregman divergences. JMLR, 6:1705-1749, 2005.
-
(2005)
JMLR
, vol.6
, pp. 1705-1749
-
-
Banerjee, A.1
Merugu, S.2
Dhillon, I.3
Ghosh, J.4
-
5
-
-
49749117072
-
Latent dirichlet conditional naive- Bayes models
-
A. Banerjee and H. Shan. Latent Dirichlet conditional naive- Bayes models. In ICDM, pages 421-426, 2007.
-
(2007)
ICDM
, pp. 421-426
-
-
Banerjee, A.1
Shan, H.2
-
7
-
-
0141607824
-
Latent dirichlet allocation
-
D. Blei, A. Ng, and M. Jordan. Latent Dirichlet allocation. JMLR, 3:993-1022, 2003.
-
(2003)
JMLR
, vol.3
, pp. 993-1022
-
-
Blei, D.1
Ng, A.2
Jordan, M.3
-
8
-
-
0034566393
-
Biclustering of expression data
-
Y. Cheng and G. Church. Biclustering of expression data. In ISMB, pages 93-103, 2000.
-
(2000)
ISMB
, pp. 93-103
-
-
Cheng, Y.1
Church, G.2
-
9
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
A. Dempster, N. Laird, and D. Rubin. Maximum likelihood from incomplete data via the EM algorithm. JRSS, 39(1):1-38, 1977.
-
(1977)
JRSS
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
10
-
-
77952375075
-
Information-theoretic co-clustering
-
I. Dhillon, S. Mallela, and D. Modha. Information-theoretic co-clustering. In KDD, pages 89-98, 2003.
-
(2003)
KDD
, pp. 89-98
-
-
Dhillon, I.1
Mallela, S.2
Modha, D.3
-
12
-
-
34548591807
-
A scalable collaborative filtering framework based on co-clustering
-
DOI 10.1109/ICDM.2005.14, 1565742, Proceedings - Fifth IEEE International Conference on Data Mining, ICDM 2005
-
T. George and S. Merugu. A scalable collaborative filtering framework based on co-clustering. In ICDM, pages 625- 628, 2005. (Pubitemid 47385756)
-
(2005)
Proceedings - IEEE International Conference on Data Mining, ICDM
, pp. 625-628
-
-
George, T.1
Merugu, S.2
-
13
-
-
84927511887
-
Direct clustering of a data matrix
-
J. Hartigan. Direct clustering of a data matrix. JASA, 67(337):123-129, 1972.
-
(1972)
JASA
, vol.67
, Issue.337
, pp. 123-129
-
-
Hartigan, J.1
-
14
-
-
34247470526
-
Learning systems of concepts with an infinite relational model
-
C. Kemp, J. Tenenbaum, T. Griffiths, T. Yamada, and N. Ueda. Learning systems of concepts with an infinite relational model. In AAAI, 2006.
-
(2006)
AAAI
-
-
Kemp, C.1
Tenenbaum, J.2
Griffiths, T.3
Yamada, T.4
Ueda, N.5
-
15
-
-
26444479778
-
Optimization by simulated annealing
-
S. Kirkpatrick, C. Gelatt, and M. Vecchi. Optimization by simulated annealing. Science, 220(4598):671-680, 1983.
-
(1983)
Science
, vol.220
, Issue.4598
, pp. 671-680
-
-
Kirkpatrick, S.1
Gelatt, C.2
Vecchi, M.3
-
16
-
-
0037399130
-
Spectral biclustering of microarray data: Coclustering genes and conditions
-
DOI 10.1101/gr.648603
-
Y. Kluger, R. Basri, J. Chang, and M. Gerstein. Spectral biclustering of microarray data: Coclustering genes and conditions. Genome Research, 13(4):703-716, 2003. (Pubitemid 36511928)
-
(2003)
Genome Research
, vol.13
, Issue.4
, pp. 703-716
-
-
Kluger, Y.1
Basri, R.2
Chang, J.T.3
Gerstein, M.4
-
18
-
-
0002788893
-
A view of the EM algorithm that justifies incremental, sparse, and other variants
-
R. Neal and G. Hinton. A view of the EM algorithm that justifies incremental, sparse, and other variants. In Learning in Graphical Models, pages 355-368, 1998.
-
(1998)
Learning in Graphical Models
, pp. 355-368
-
-
Neal, R.1
Hinton, G.2
-
19
-
-
0442296603
-
Estimation and prediction for stochastic blockstructures
-
K. Nowicki and T. Snijders. Estimation and prediction for stochastic blockstructures. JASA, 96(455):1077-1087, 2001.
-
(2001)
JASA
, vol.96
, Issue.455
, pp. 1077-1087
-
-
Nowicki, K.1
Snijders, T.2
-
20
-
-
0021404166
-
MIXTURE DENSITIES, MAXIMUM LIKELIHOOD AND THE EM ALGORITHM.
-
R. Redner and H.Walker. Mixture densities, maximum likelihood and the EM algorithm. SIAM Review, 26(2):195-239, 1984. (Pubitemid 17491604)
-
(1984)
SIAM Review
, vol.26
, Issue.2
, pp. 195-239
-
-
Redner Richard, A.1
Walker Homer, F.2
-
21
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
DOI 10.1126/science.290.5500.2319
-
J. Tenenbaum, V. Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290:2319-2323, 2000. (Pubitemid 32041577)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
De Silva, V.2
Langford, J.C.3
|