-
1
-
-
0000708831
-
Mixture of Dirichlet process with applications to Bayesian nonparametric problems
-
Antoniak, C.E. Mixture of Dirichlet process with applications to Bayesian nonparametric problems. Annals of Stats, (273):1152-1174, 1974.
-
(1974)
Annals of Stats
, Issue.273
, pp. 1152-1174
-
-
Antoniak, C.E.1
-
3
-
-
0002617436
-
Ferguson distributions via polya urn scheme
-
Blackwell, D. & MacQueen, J. Ferguson distributions via polya urn scheme. Annals of Stats, (1):353-355, 1973.
-
(1973)
Annals of Stats
, Issue.1
, pp. 353-355
-
-
Blackwell, D.1
MacQueen, J.2
-
4
-
-
84867186048
-
Variational inference for Dirichlet process mixtures
-
Blei, D. & Jordan, M. Variational inference for Dirichlet process mixtures. Bayesian Analysis, 1:121-144, 2006.
-
(2006)
Bayesian Analysis
, vol.1
, pp. 121-144
-
-
Blei, D.1
Jordan, M.2
-
5
-
-
85161973444
-
Predictive subspace learning for multiview data: A large margin approach
-
Chen, N., Zhu, J., & Xing, E. Predictive subspace learning for multiview data: a large margin approach. In NIPS, 2010.
-
(2010)
NIPS
-
-
Chen, N.1
Zhu, J.2
Xing, E.3
-
6
-
-
74049158146
-
NUS-WIDE: A real-world web image database from national university of Singapore
-
Chua, T.S., Tang, J., Hong, R., Li, H., Luo, Z., & Zheng, Y. NUS-WIDE: a real-world web image database from national university of Singapore. In CIVR, 2009.
-
(2009)
CIVR
-
-
Chua, T.S.1
Tang, J.2
Hong, R.3
Li, H.4
Luo, Z.5
Zheng, Y.6
-
7
-
-
84899019809
-
A parallel mixture of SVMs for very large scale problems
-
Collobert, R., Bengio, S., & Bengio, Y. A parallel mixture of SVMs for very large scale problems. In NIPS, 2002.
-
(2002)
NIPS
-
-
Collobert, R.1
Bengio, S.2
Bengio, Y.3
-
8
-
-
84878240434
-
Nonparametric Bayes regression and classification through mixtures of product kernels
-
Dunson, D. & Bhattacharya, A. Nonparametric Bayes regression and classification through mixtures of product kernels. Bayesian Stats, 2010.
-
(2010)
Bayesian Stats
-
-
Dunson, D.1
Bhattacharya, A.2
-
9
-
-
0001120413
-
A Bayesian analysis of some nonparametric problems
-
Ferguson, T. A Bayesian analysis of some nonparametric problems. Annals of Stats, (1):209-230, 1973.
-
(1973)
Annals of Stats
, Issue.1
, pp. 209-230
-
-
Ferguson, T.1
-
10
-
-
0041494125
-
Efficient SVM training using low-rank kernel representations
-
Fine, S. & Scheinberg, K. Efficient SVM training using low-rank kernel representations. JMLR, (2):243-264, 2001.
-
(2001)
JMLR
, Issue.2
, pp. 243-264
-
-
Fine, S.1
Scheinberg, K.2
-
11
-
-
78650056777
-
Mixing linear SVMs for nonlinear classification
-
Fu, Z., Robles-Kelly, A., & Zhou, J. Mixing linear SVMs for nonlinear classification. IEEE Trans. on Nueral Networks, 21(12):1963-1975, 2010.
-
(2010)
IEEE Trans. on Nueral Networks
, vol.21
, Issue.12
, pp. 1963-1975
-
-
Fu, Z.1
Robles-Kelly, A.2
Zhou, J.3
-
12
-
-
79960079512
-
Dirichlet process mixtures of generalized linear models
-
Hannah, L., Blei, D., & Powell, W. Dirichlet process mixtures of generalized linear models. In AISTATS, 2010.
-
(2010)
AISTATS
-
-
Hannah, L.1
Blei, D.2
Powell, W.3
-
14
-
-
0001940458
-
Adaptive mixtures of local experts
-
Jacobs, R., Jordan, M., Nowlan, S., & Hinton, G. Adaptive mixtures of local experts. Neural Computation, 3(1):79-87, 1991.
-
(1991)
Neural Computation
, vol.3
, Issue.1
, pp. 79-87
-
-
Jacobs, R.1
Jordan, M.2
Nowlan, S.3
Hinton, G.4
-
15
-
-
1942483137
-
Transductive inference for text classification using support vector machines
-
Joachims, T. Transductive inference for text classification using support vector machines. In ICML, 1999.
-
(1999)
ICML
-
-
Joachims, T.1
-
18
-
-
0041810454
-
Asymptotics for likelihood ratio tests under loss of identifiability
-
Liu, X. & Shao, Y. Asymptotics for likelihood ratio tests under loss of identifiability. Annals of Stats, 31(3):807-832, 2003.
-
(2003)
Annals of Stats
, vol.31
, Issue.3
, pp. 807-832
-
-
Liu, X.1
Shao, Y.2
-
19
-
-
33750330576
-
Combining statistical learning with a knowledge-based approach - A case study in intensive care monitoring
-
Morik, K., Brockhausen, P., & Joachims, T. Combining statistical learning with a knowledge-based approach - a case study in intensive care monitoring. In ICML, 1999.
-
(1999)
ICML
-
-
Morik, K.1
Brockhausen, P.2
Joachims, T.3
-
20
-
-
77953218689
-
Random features for large-scale kernel machines
-
Rahimi, A. & Recht, B. Random features for large-scale kernel machines. In NIPS, 2007.
-
(2007)
NIPS
-
-
Rahimi, A.1
Recht, B.2
-
21
-
-
78049480844
-
Inifinite mixture-of-experts model for sparse survival regression with application to breast cancer
-
Raman, S., Fuchs, T., Wild, P., Dahl, E., Buhmann, J., & Roth, V. Inifinite mixture-of-experts model for sparse survival regression with application to breast cancer. BMC Bioinformatics, 11:S8, 2010.
-
(2010)
BMC Bioinformatics
, vol.11
-
-
Raman, S.1
Fuchs, T.2
Wild, P.3
Dahl, E.4
Buhmann, J.5
Roth, V.6
-
22
-
-
0037511469
-
Infinite mixtures of Gaussian process experts
-
Rasmussen, C. & Ghahramani, Z. Infinite mixtures of Gaussian process experts. In NIPS, 2001.
-
(2001)
NIPS
-
-
Rasmussen, C.1
Ghahramani, Z.2
-
23
-
-
0003408420
-
-
MIT Press Cambridge
-
Schölkopf, B. & Smola, A. Learning with kernels: support vector machines, regularization, optimization, and beyond. MIT Press Cambridge, 2001.
-
(2001)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
-
-
Schölkopf, B.1
Smola, A.2
-
24
-
-
0000720609
-
A constructive definition of Dirichlet priors
-
Sethuraman, J. A constructive definition of Dirichlet priors. Statistica Sinica, (4):639-650, 1994.
-
(1994)
Statistica Sinica
, Issue.4
, pp. 639-650
-
-
Sethuraman, J.1
-
25
-
-
70349425847
-
Nonlinear models using Dirichlet process mixtures
-
Shahbaba, B. & Neal, R. Nonlinear models using Dirichlet process mixtures. JMLR, 10:1829-1850, 2009.
-
(2009)
JMLR
, vol.10
, pp. 1829-1850
-
-
Shahbaba, B.1
Neal, R.2
-
26
-
-
33745780732
-
Exponential family harmoniums with an application to information retrieval
-
Welling, M., Rosen-Zvi, M., & Hinton, G. Exponential family harmoniums with an application to information retrieval. In NIPS, 2004.
-
(2004)
NIPS
-
-
Welling, M.1
Rosen-Zvi, M.2
Hinton, G.3
-
27
-
-
73549086344
-
Maximum entropy discrimination Markov networks
-
Zhu, J. & Xing, E. Maximum entropy discrimination Markov networks. JMLR, 10:2531-2569, 2009.
-
(2009)
JMLR
, vol.10
, pp. 2531-2569
-
-
Zhu, J.1
Xing, E.2
-
28
-
-
85162025905
-
Partially observed maximum entropy discrimination Markov networks
-
Zhu, J., Xing, E., & Zhang, B. Partially observed maximum entropy discrimination Markov networks. In NIPS, 2008.
-
(2008)
NIPS
-
-
Zhu, J.1
Xing, E.2
Zhang, B.3
|