-
1
-
-
36849023117
-
Predictive discrete latent factor models for large scale dyadic data
-
D. Agarwal and S. Merugu. Predictive discrete latent factor models for large scale dyadic data. In KDD, pages 26-35, 2007.
-
(2007)
KDD
, pp. 26-35
-
-
Agarwal, D.1
Merugu, S.2
-
2
-
-
0001090598
-
Representations for partially exchangeable arrays of random variables
-
D. J. Aldous. Representations for partially exchangeable arrays of random variables. J. Multi. Anal., 11(4):581-598, 1981.
-
(1981)
J. Multi. Anal
, vol.11
, Issue.4
, pp. 581-598
-
-
Aldous, D.J.1
-
4
-
-
0035370926
-
Relative loss bounds for on-line density estimation with the exponential family of distributions
-
K. S. Azoury and M. Warmuth. Relative loss bounds for on-line density estimation with the exponential family of distributions. Mach. Learn., 43:211-246, 2001.
-
(2001)
Mach. Learn
, vol.43
, pp. 211-246
-
-
Azoury, K.S.1
Warmuth, M.2
-
5
-
-
65449133435
-
Multi-way clustering on relation graphs
-
SIAM
-
A. Banerjee, S. Basu, and S. Merugu. Multi-way clustering on relation graphs. In SDM. SIAM, 2007.
-
(2007)
SDM
-
-
Banerjee, A.1
Basu, S.2
Merugu, S.3
-
6
-
-
26244461684
-
Clustering with Bregman divergences
-
A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh. Clustering with Bregman divergences. J. Mach. Learn. Res., 6:1705-1749, 2005.
-
(2005)
J. Mach. Learn. Res
, vol.6
, pp. 1705-1749
-
-
Banerjee, A.1
Merugu, S.2
Dhillon, I.S.3
Ghosh, J.4
-
7
-
-
0013309537
-
Online algorithms and stochastic approximations
-
Cambridge UP
-
L. Bottou. Online algorithms and stochastic approximations. In Online Learning and Neural Networks. Cambridge UP, 1998.
-
(1998)
Online Learning and Neural Networks
-
-
Bottou, L.1
-
8
-
-
65449126924
-
Large scale online learning
-
L. Bottou and Y. LeCun. Large scale online learning. In NIPS, 2003.
-
(2003)
NIPS
-
-
Bottou, L.1
LeCun, Y.2
-
10
-
-
49949144765
-
The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex programming
-
L. Bregman. The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex programming. USSR Comp. Math and Math. Phys., 7:200-217, 1967.
-
(1967)
USSR Comp. Math and Math. Phys
, vol.7
, pp. 200-217
-
-
Bregman, L.1
-
12
-
-
84976766949
-
The entity-relationship model: Toward a unified view of data
-
9-36
-
P. P. Chen. The entity-relationship model: Toward a unified view of data. ACM Trans. Data. Sys., 1(1):9-36, 1976.
-
(1976)
ACM Trans. Data. Sys
, vol.1
, Issue.1
-
-
Chen, P.P.1
-
13
-
-
0005137116
-
The missing link-a probabilistic model of document content and hypertext connectivity
-
D. Cohn and T. Hofmann. The missing link-a probabilistic model of document content and hypertext connectivity. In NIPS, 2000.
-
(2000)
NIPS
-
-
Cohn, D.1
Hofmann, T.2
-
14
-
-
0042420026
-
A generalization of principal component analysis to the exponential family
-
M. Collins, S. Dasgupta, and R. E. Schapire. A generalization of principal component analysis to the exponential family. In NIPS, 2001.
-
(2001)
NIPS
-
-
Collins, M.1
Dasgupta, S.2
Schapire, R.E.3
-
15
-
-
14344256781
-
Relative expected instantaneous loss bounds
-
J. Forster and M. K. Warmuth. Relative expected instantaneous loss bounds. In COLT, pages 90-99, 2000.
-
(2000)
COLT
, pp. 90-99
-
-
Forster, J.1
Warmuth, M.K.2
-
18
-
-
0000526256
-
Overview of the 2nd text retrieval conference (TREC-2)
-
271-289
-
D. Harman. Overview of the 2nd text retrieval conference (TREC-2). Inf. Process. Manag., 31(3):271-289, 1995.
-
(1995)
Inf. Process. Manag
, vol.31
, Issue.3
-
-
Harman, D.1
-
19
-
-
85026972772
-
Probabilistic latent semantic indexing
-
T. Hofmann. Probabilistic latent semantic indexing. In SIGIR, pages 50-57, 1999.
-
(1999)
SIGIR
, pp. 50-57
-
-
Hofmann, T.1
-
20
-
-
84868919987
-
-
Internet Movie Database Inc. IMDB interfaces, Jan. 2007
-
Internet Movie Database Inc. IMDB interfaces. http://www.imdb.com/ interfaces, Jan. 2007.
-
-
-
-
21
-
-
84898964201
-
Algorithms for non-negative matrix factorization
-
D. D. Lee and H. S. Seung. Algorithms for non-negative matrix factorization. In NIPS, 2001.
-
(2001)
NIPS
-
-
Lee, D.D.1
Seung, H.S.2
-
23
-
-
34250765347
-
Spectral clustering for multi-type relational data
-
B. Long, Z. M. Zhang, X. Wu;, and P. S. Yu. Spectral clustering for multi-type relational data. In ICML, pages 585-592, 2006.
-
(2006)
ICML
, pp. 585-592
-
-
Long, B.1
Zhang, Z.M.2
Wu, X.3
Yu, P.S.4
-
24
-
-
34547985975
-
Relational clustering by symmetric convex coding
-
B. Long, Z. M. Zhang, X. Wu, and P. S. Yu. Relational clustering by symmetric convex coding. In ICML, pages 569-576, 2007.
-
(2007)
ICML
, pp. 569-576
-
-
Long, B.1
Zhang, Z.M.2
Wu, X.3
Yu, P.S.4
-
25
-
-
36849020504
-
A probabilistic framework for relational clustering
-
B. Long, Z. M. Zhang, and P. S. Yu. A probabilistic framework for relational clustering. In KDD, pages 470-479, 2007.
-
(2007)
KDD
, pp. 470-479
-
-
Long, B.1
Zhang, Z.M.2
Yu, P.S.3
-
29
-
-
34250709572
-
The support vector decomposition machine
-
F. Pereira and G. Gordon. The support vector decomposition machine. In ICML, pages 689-696, 2006.
-
(2006)
ICML
, pp. 689-696
-
-
Pereira, F.1
Gordon, G.2
-
30
-
-
31844451557
-
Fast maximum margin matrix factorization for collaborative prediction
-
J. D. M. Rennie and N. Srebro. Fast maximum margin matrix factorization for collaborative prediction. In ICML, pages 713-719, 2005.
-
(2005)
ICML
, pp. 713-719
-
-
Rennie, J.D.M.1
Srebro, N.2
-
31
-
-
65449171467
-
Relational learning via collective matrix factorization
-
Technical Report CMU-ML-08-109, Machine Learning Department, Carnegie Mellon University
-
A. P. Singh and G. J. Gordon. Relational learning via collective matrix factorization. Technical Report CMU-ML-08-109, Machine Learning Department, Carnegie Mellon University, 2008.
-
(2008)
-
-
Singh, A.P.1
Gordon, G.J.2
-
32
-
-
1942516801
-
Weighted low-rank approximations
-
N. Srebro and T. Jaakola. Weighted low-rank approximations. In ICML, 2003.
-
(2003)
ICML
-
-
Srebro, N.1
Jaakola, T.2
-
34
-
-
85032752237
-
Cyclic minimizers, majorization techniques, and the expectation-maximization algorithm: A refresher
-
P. Stoica and Y. Selen. Cyclic minimizers, majorization techniques, and the expectation-maximization algorithm: a refresher. Sig. Process. Mag., IEEE, 21(1):112-114, 2004.
-
(2004)
Sig. Process. Mag., IEEE
, vol.21
, Issue.1
, pp. 112-114
-
-
Stoica, P.1
Selen, Y.2
-
35
-
-
84885640929
-
Multi-label informed latent semantic indexing
-
K. Yu, S. Yu, and V. Tresp. Multi-label informed latent semantic indexing. In SIGIR, pages 258-265, 2005.
-
(2005)
SIGIR
, pp. 258-265
-
-
Yu, K.1
Yu, S.2
Tresp, V.3
-
36
-
-
33749566317
-
Supervised probabilistic principal component analysis
-
S. Yu, K. Yu, V. Tresp, H.-P. Kriegel, and M. Wu. Supervised probabilistic principal component analysis. In KDD, pages 464-473, 2006.
-
(2006)
KDD
, pp. 464-473
-
-
Yu, S.1
Yu, K.2
Tresp, V.3
Kriegel, H.-P.4
Wu, M.5
-
37
-
-
36448946815
-
Combining content and link for classification using matrix factorization
-
S. Zhu, K. Yu, Y. Chi, and Y. Gong. Combining content and link for classification using matrix factorization. In SIGIR, pages 487-494, 2007.
-
(2007)
SIGIR
, pp. 487-494
-
-
Zhu, S.1
Yu, K.2
Chi, Y.3
Gong, Y.4
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