-
2
-
-
33749236995
-
Robust probabilistic projections
-
Archambeau, C., Delannay, N., and Verleysen, M. Robust probabilistic projections. In Proceedings of the 23rd International Conference on Machine Learning (ICML), pp. 33-40, 2006.
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning (ICML)
, pp. 33-40
-
-
Archambeau, C.1
Delannay, N.2
Verleysen, M.3
-
4
-
-
78649661036
-
Estimating image bases for visual image reconstruction from human brain activity
-
Fujiwara, Y., Miyawaki, Y., and Kamitani, Y. Estimating image bases for visual image reconstruction from human brain activity. In Advances in Neural Information Processing Systems 22, pp. 576-584, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
, pp. 576-584
-
-
Fujiwara, Y.1
Miyawaki, Y.2
Kamitani, Y.3
-
5
-
-
38149119574
-
Bayesian nonparametric latent feature models
-
Ghahramani, Z., Griffits, T.L., and Sollich, P. Bayesian nonparametric latent feature models. Bayesian Statistics, 8, 2007.
-
(2007)
Bayesian Statistics
, vol.8
-
-
Ghahramani, Z.1
Griffits, T.L.2
Sollich, P.3
-
6
-
-
10044285992
-
Canonical correlation analysis: An overview with application to learning methods
-
DOI 10.1162/0899766042321814
-
Hardoon, D. R., Szedmak, S., and Shawe-Taylor, J. Canonical correlation analysis: An overview with application to learning methods. Neural Computation, 16(12):2639-2664, 2004. (Pubitemid 39604012)
-
(2004)
Neural Computation
, vol.16
, Issue.12
, pp. 2639-2664
-
-
Hardoon, D.R.1
Szedmak, S.2
Shawe-Taylor, J.3
-
7
-
-
85162037528
-
Factorized latent spaces with structured sparsity
-
Jia, Y., Salzmann, M., and Darrell, T. Factorized latent spaces with structured sparsity. In Advances in Neural Information Processing Systems 23, pp. 982-990, 2010.
-
(2010)
Advances in Neural Information Processing Systems
, vol.23
, pp. 982-990
-
-
Jia, Y.1
Salzmann, M.2
Darrell, T.3
-
8
-
-
85162389868
-
Variational bounds for mixed-data factor analysis
-
Khan, M.E., Bouchard, G., Marlin, B.M., and Murphy, K.P. Variational bounds for mixed-data factor analysis. In Advances in Neural Information Processing Systems 23, pp. 1108-1116, 2010.
-
(2010)
Advances in Neural Information Processing Systems
, vol.23
, pp. 1108-1116
-
-
Khan, M.E.1
Bouchard, G.2
Marlin, B.M.3
Murphy, K.P.4
-
10
-
-
80053152573
-
Bayesian exponential family projections for coupled data sources
-
Klami, A., Virtanen, S., and Kaski, S. Bayesian exponential family projections for coupled data sources. In Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 286-293, 2010.
-
(2010)
Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI)
, pp. 286-293
-
-
Klami, A.1
Virtanen, S.2
Kaski, S.3
-
12
-
-
77649235651
-
Transformations in variational Bayesian factor analysis to speed up learning
-
Luttinen, J. and Ilin, A. Transformations in variational Bayesian factor analysis to speed up learning. Neurocomputing, 73:1093-1102, 2010.
-
(2010)
Neurocomputing
, vol.73
, pp. 1093-1102
-
-
Luttinen, J.1
Ilin, A.2
-
13
-
-
37849035696
-
The group Lasso for logistic regression
-
Meier, L., van de Geer, S., and Bühlmann, P. The group Lasso for logistic regression. Journal of the Royal Statistical Society: Series B, 70(1):53-71, 2008.
-
(2008)
Journal of the Royal Statistical Society: Series B
, vol.70
, Issue.1
, pp. 53-71
-
-
Meier, L.1
Van De Geer, S.2
Bühlmann, P.3
-
14
-
-
80053456996
-
Zero-shot learning with semantic output codes
-
Palatucci, M., Pomerleau, D., Hinton, G., and Mitchell, T. Zero-shot learning with semantic output codes. In Advances in Neural Information Processing Systems 22, pp. 1410-1418, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
, pp. 1410-1418
-
-
Palatucci, M.1
Pomerleau, D.2
Hinton, G.3
Mitchell, T.4
-
17
-
-
84862294408
-
Factorized orthogonal latent spaces
-
Salzmann, M., Ek, C. H., Urtasun, R., and Darrell, T. Factorized orthogonal latent spaces. In Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 701-708, 2010.
-
(2010)
Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS)
, pp. 701-708
-
-
Salzmann, M.1
Ek, C.H.2
Urtasun, R.3
Darrell, T.4
-
18
-
-
78649325096
-
Canonical correlation analysis for multilabel classification: A least-squares formulation, extension, and analysis
-
Sun, L., Ji, S., and Ye, J. Canonical correlation analysis for multilabel classification: A least-squares formulation, extension, and analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1):194-200, 2011.
-
(2011)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.33
, Issue.1
, pp. 194-200
-
-
Sun, L.1
Ji, S.2
Ye, J.3
-
20
-
-
77956163078
-
Mining multi-label data
-
Springer, 2nd edition
-
Tsoumakas, G., Katakis, I., and Vlahavas, I. Mining multi-label data. In Data Mining and Knowledge Discovery Handbook. Springer, 2nd edition, 2010.
-
(2010)
Data Mining and Knowledge Discovery Handbook
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
21
-
-
34248630554
-
Variational Bayesian approach to canonical correlation analysis
-
DOI 10.1109/TNN.2007.891186
-
Wang, C. Variational Bayesian approach to canonical correlation analysis. IEEE Transactions on Neural Networks, 18:905-910, 2007. (Pubitemid 46773754)
-
(2007)
IEEE Transactions on Neural Networks
, vol.18
, Issue.3
, pp. 905-910
-
-
Wang, C.1
-
22
-
-
33749566317
-
Supervised probabilistic principal component analysis
-
Yu, S., Yu, K., Tresp, V., Kriegel, H-P., and Wu, M. Supervised probabilistic principal component analysis. In Proceedings of the 12th ACM International Conference on Knowledge Discovery and Data Mining KDD, pp. 464-473, 2006.
-
(2006)
Proceedings of the 12th ACM International Conference on Knowledge Discovery and Data Mining KDD
, pp. 464-473
-
-
Yu, S.1
Yu, K.2
Tresp, V.3
Kriegel, H.-P.4
Wu, M.5
-
23
-
-
33947681316
-
ML-KNN: A lazy learning approach to multi-label learning
-
DOI 10.1016/j.patcog.2006.12.019, PII S0031320307000027
-
Zhang, M-L. and Zhou, Z-H. ML-KNN: A lazy learning approach to multi-label learning. Pattern Recognition, 40(7):2038-2048, 2007. (Pubitemid 46497248)
-
(2007)
Pattern Recognition
, vol.40
, Issue.7
, pp. 2038-2048
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
|