-
2
-
-
84873675681
-
Variational Bayesian view of weighted trace norm regularization for matrix factorization
-
Y.-D. Kim and S. Choi. Variational Bayesian view of weighted trace norm regularization for matrix factorization. IEEE Signal Processing Letters, 20(3):261-264, 2013.
-
(2013)
IEEE Signal Processing Letters
, vol.20
, Issue.3
, pp. 261-264
-
-
Kim, Y.-D.1
Choi, S.2
-
3
-
-
85008044987
-
Matrix factorization techniques for recommender systems
-
Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. IEEE Computer, 42(8):30-37, 2009.
-
(2009)
IEEE Computer
, vol.42
, Issue.8
, pp. 30-37
-
-
Koren, Y.1
Bell, R.2
Volinsky, C.3
-
4
-
-
48249140327
-
Variational Bayesian approach to movie rating prediction
-
San Jose, CA
-
Y. J. Lim and Y. W. Teh. Variational Bayesian approach to movie rating prediction. In Proceedings of KDD Cup and Workshop, San Jose, CA, 2007.
-
(2007)
Proceedings of KDD Cup and Workshop
-
-
Lim, Y.J.1
The, Y.W.2
-
5
-
-
77958547447
-
Bayesian matrix factorization with side information and Dirichlet process mixtures
-
Atlanta, Georgia, USA
-
I. Proteous, A. Asuncion, and M. Welling. Bayesian matrix factorization with side information and Dirichlet process mixtures. In Proceedings of the AAAI National Conference on Artificial Intelligence (AAAI), Atlanta, Georgia, USA, 2010.
-
(2010)
Proceedings of the AAAI National Conference on Artificial Intelligence (AAAI)
-
-
Proteous, I.1
Asuncion, A.2
Welling, M.3
-
6
-
-
38049188186
-
Principal component analysis for large scale problems with lots of missing values
-
Warsaw, Poland
-
T. Raiko, A. Ilin, and J. Karhunen. Principal component analysis for large scale problems with lots of missing values. In Proceedings of the European Conference on Machine Learning (ECML), pages 691-698, Warsaw, Poland, 2007.
-
(2007)
Proceedings of the European Conference on Machine Learning (ECML)
, pp. 691-698
-
-
Raiko, T.1
Ilin, A.2
Karhunen, J.3
-
12
-
-
64149121935
-
Scalable collaborative filtering approaches for large recommender systems
-
G. Takács, I. Pilászy, B. Németh, and D. Tikk. Scalable collaborative filtering approaches for large recommender systems. Journal of Machine Learning Research, 10:623-656, 2009.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 623-656
-
-
Takács, G.1
Pilászy, I.2
Németh, B.3
Tikk, D.4
-
13
-
-
0032071054
-
Posterior Cramér-Rao bounds for discretetime nonlinear filtering
-
P. Tichavsky, C. H. Muravchik, and A. Nehorai. Posterior Cramér-Rao bounds for discretetime nonlinear filtering. IEEE Transactions on Signal Processing, 46(5):1386-1395, 1998.
-
(1998)
IEEE Transactions on Signal Processing
, vol.46
, Issue.5
, pp. 1386-1395
-
-
Tichavsky, P.1
Muravchik, C.H.2
Nehorai, A.3
-
15
-
-
84867623358
-
Hierarchical variational Bayesian matrix co-factorization
-
Kyoto, Japan
-
J. Yoo and S. Choi. Hierarchical variational Bayesian matrix co-factorization. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, 2012.
-
(2012)
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
-
-
Yoo, J.1
Choi, S.2
|