-
1
-
-
34547466115
-
Identifying protein complexes in high-throughput protein interaction screens using an infinite latent feature model
-
Chu, W., Ghahramani, Z., Krause, R., & Wild, D. (2006). Identifying protein complexes in high-throughput protein interaction screens using an infinite latent feature model. Pacific Symposium on Biocomputing (pp. 231-242).
-
(2006)
Pacific Symposium on Biocomputing
, pp. 231-242
-
-
Chu, W.1
Ghahramani, Z.2
Krause, R.3
Wild, D.4
-
2
-
-
80053927588
-
Variational inference for the Indian buffet process
-
Doshi-Velez, F., Miller, K. T., Gael, J. V., & Teh, Y. W. (2009). Variational inference for the Indian buffet process. Proceedings of the Intl. Conf. on Artificial Intelligence and Statistics (pp. 137-144).
-
(2009)
Proceedings of the Intl. Conf. on Artificial Intelligence and Statistics
, pp. 137-144
-
-
Doshi-Velez, F.1
Miller, K.T.2
Gael, J.V.3
Teh, Y.W.4
-
3
-
-
0004012196
-
-
Chapman & Hall/CRC
-
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003). Bayesian Data Analysis. Chapman & Hall/CRC.
-
(2003)
Bayesian Data Analysis
-
-
Gelman, A.1
Carlin, J.B.2
Stern, H.S.3
Rubin, D.B.4
-
4
-
-
0035363672
-
From few to many: Illumination cone models for face recognition under variable lighting and pose
-
Georghiades, A., Belhumeur, P., & Kriegman, D. (2001). From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE Trans. Pattern Anal. Mach. Intelligence, 23, 643-660.
-
(2001)
IEEE Trans. Pattern Anal. Mach. Intelligence
, vol.23
, pp. 643-660
-
-
Georghiades, A.1
Belhumeur, P.2
Kriegman, D.3
-
6
-
-
33645039209
-
Infinite latent feature models and the Indian buffet process
-
Gatsby Comp. Neuroscience Unit
-
Griffiths, T., & Ghahramani, Z. (2005). Infinite latent feature models and the Indian buffet process. TR 2005-001, Gatsby Comp. Neuroscience Unit.
-
(2005)
TR
, pp. 2005-3001
-
-
Griffiths, T.1
Ghahramani, Z.2
-
7
-
-
36549023890
-
An efficient P300-based brain-computer interface for disabled subjects
-
Hoffmann, U., Vesin, J.-M., Ebrahimi, T., & Diserens, K. (2008). An efficient P300-based brain-computer interface for disabled subjects. Journal of Neuroscience Methods, 167, 115-125.
-
(2008)
Journal of Neuroscience Methods
, vol.167
, pp. 115-125
-
-
Hoffmann, U.1
Vesin, J.-M.2
Ebrahimi, T.3
Diserens, K.4
-
9
-
-
84864028297
-
Modeling dyadic data with binary latent factors
-
Meeds, E., Ghahramani, Z., Neal, R., & Roweis, S. (2007). Modeling dyadic data with binary latent factors. Advances in Neural Information Processing Systems (pp. 977-984).
-
(2007)
Advances in Neural Information Processing Systems
, pp. 977-984
-
-
Meeds, E.1
Ghahramani, Z.2
Neal, R.3
Roweis, S.4
-
10
-
-
55749098088
-
Latent features in similarity judgments: A nonparametric Bayesian approach
-
Navarro, D. J., & Griffiths, T. L. (2008). Latent features in similarity judgments: A nonparametric Bayesian approach. Neural Comp., 20, 2597-2628.
-
(2008)
Neural Comp
, vol.20
, pp. 2597-2628
-
-
Navarro, D.J.1
Griffiths, T.L.2
-
11
-
-
33846199251
-
A discriminative model for polyphonic piano transcription
-
Poliner, G. E., & Ellis, D. P. W. (2007). A discriminative model for polyphonic piano transcription. EURASIP J. Appl. Signal Process., 2007, 154-154.
-
(2007)
EURASIP J. Appl. Signal Process
, vol.2007
, pp. 154-154
-
-
Poliner, G.E.1
Ellis, D.P.W.2
-
13
-
-
65549098786
-
Bayesian K-means as a "maximization-expectation" algorithm
-
Welling, M., & Kurihara, K. (2009). Bayesian K-means as a "maximization-expectation" algorithm. Neural Computation (pp. 1145-1172).
-
(2009)
Neural Computation
, pp. 1145-1172
-
-
Welling, M.1
Kurihara, K.2
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