-
2
-
-
33749240483
-
Correlated topic models
-
Blei, D., & Lafferty, J. (2006). Correlated topic models. NIPS.
-
(2006)
NIPS
-
-
Blei, D.1
Lafferty, J.2
-
3
-
-
62549125109
-
High-dimensional sparse factor modelling: Applications in gene expression genomics
-
Carvalho, C. M., Chang, J., Lucas, J. E., Nevins, J. R., Wang, Q., & West, M. (2008). High-dimensional sparse factor modelling: Applications in gene expression genomics. J. of the American Statistical Association, 103.
-
(2008)
J. of the American Statistical Association
, vol.103
-
-
Carvalho, C.M.1
Chang, J.2
Lucas, J.E.3
Nevins, J.R.4
Wang, Q.5
West, M.6
-
5
-
-
0002549585
-
Eigentaste: A constant time collaborative filtering algorithm
-
Goldberg, K., Roeder, T., Gupta, D., & Perkins, C. (2001). Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval, 4.
-
(2001)
Information Retrieval
, vol.4
-
-
Goldberg, K.1
Roeder, T.2
Gupta, D.3
Perkins, C.4
-
8
-
-
70350373855
-
Utilizing object-object and object-scene context when planning to find things
-
Kollar, T., & Roy, N. (2009). Utilizing object-object and object-scene context when planning to find things. ICRA.
-
(2009)
ICRA
-
-
Kollar, T.1
Roy, N.2
-
9
-
-
80053184595
-
Nonparametric bayes pachinko allocation
-
Li, W., Blei, D., & McCallum, A. (2007). Nonparametric bayes pachinko allocation. UAI 07.
-
(2007)
UAI 07
-
-
Li, W.1
Blei, D.2
McCallum, A.3
-
10
-
-
78650259686
-
The phylogenetic indian buffet process: A non-exchangeable nonparametric prior for latent features
-
Miller, K. T., Griffiths, T. L., & Jordan, M. I. (2008). The phylogenetic indian buffet process: A non-exchangeable nonparametric prior for latent features. UAI.
-
(2008)
UAI
-
-
Miller, K.T.1
Griffiths, T.L.2
Jordan, M.I.3
-
11
-
-
44049116681
-
Connectionist learning of belief networks
-
Neal, R. (1992). Connectionist learning of belief networks. In Journal of artificial intelligence, vol. 56.
-
(1992)
Journal of Artificial Intelligence
, vol.56
-
-
Neal, R.1
-
12
-
-
77950032550
-
Markov chain sampling methods for Dirichlet process mixture models
-
Neal, R. (2000). Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics, 9, 249-265.
-
(2000)
Journal of Computational and Graphical Statistics
, vol.9
, pp. 249-265
-
-
Neal, R.1
-
14
-
-
77953559148
-
The infinite hierarchical factor regression model
-
Rai, P., & Daume, H. (2009). The infinite hierarchical factor regression model. NIPS.
-
(2009)
NIPS
-
-
Rai, P.1
Daume, H.2
-
15
-
-
79960881489
-
-
Submitted to Encyclopedia of Machine Learning
-
Teh, Y. W. (2007). Dirichlet processes. Submitted to Encyclopedia of Machine Learning.
-
(2007)
Dirichlet Processes
-
-
Teh, Y.W.1
-
16
-
-
85046750222
-
The infinite gamma-poisson feature model
-
Titsias, M. (2007). The infinite gamma-poisson feature model. In Nips 19.
-
(2007)
Nips
, vol.19
-
-
Titsias, M.1
-
17
-
-
41749102269
-
-
UN, United nations development programme
-
UN (2008). Human development report. In United nations development programme.
-
(2008)
Human Development Report
-
-
-
18
-
-
77956724186
-
The infinite factorial hidden markov model
-
Van Gael, J., Teh, Y. W., & Ghahramani, Z. (2009). The infinite factorial hidden markov model. In Nips 21.
-
(2009)
Nips
, vol.21
-
-
Van Gael, J.1
Teh, Y.W.2
Ghahramani, Z.3
|