-
1
-
-
55149088329
-
Convex multi-task feature learning
-
Argyriou, Andreas, Evgeniou, Theodoras, and Pontil, Mas- similiano. Convex multi-task feature learning. Machine Learning, 73(3):243-272, 2008.
-
(2008)
Machine Learning
, vol.73
, Issue.3
, pp. 243-272
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.-S.3
-
4
-
-
71149116544
-
Curriculum learning
-
Bengio, Yoshua, Louradour, Jerome, Collobert, Ronan, and Weston, Jason. Curriculum learning. In International Conference on Machine Learing (ICML), 2009.
-
(2009)
International Conference on Machine Learing (ICML)
-
-
Bengio, Y.1
Louradour, J.2
Collobert, R.3
Weston, J.4
-
5
-
-
84910030053
-
Rec norm: Simultaneous normalisation and classification applied to speech recognition
-
Bridle, John S. and Cox, Stephen J. Rec Norm: Simultaneous normalisation and classification applied to speech recognition. In Conference on Neural Information Processing Systems (NIPS), pp. 234-240, 1990.
-
(1990)
Conference on Neural Information Processing Systems (NIPS)
, pp. 234-240
-
-
Bridle, J.S.1
Cox, S.J.2
-
6
-
-
0031189914
-
Multitask learning
-
Caruana, Rich. Multitask learning. Machine Learning, 28 (1):41-75, 1997.
-
(1997)
Machine Learning
, vol.28
, Issue.1
, pp. 41-75
-
-
Caruana, R.1
-
8
-
-
0000351907
-
Orientation statistics
-
Downs, Thomas D. Orientation statistics. Biometrika, 59 (3):665-676, 1972.
-
(1972)
Biometrika
, vol.59
, Issue.3
, pp. 665-676
-
-
Downs, T.D.1
-
10
-
-
71149105482
-
Pac-Bayesian learning of linear classifiers
-
Germain, Pascal, Lacasse, Alexandre, Laviolette, Fran§ois, and Marchand, Mario. PAC-Bayesian learning of linear classifiers. In International Conference on Machine Learing (ICML), 2009.
-
(2009)
International Conference on Machine Learing (ICML)
-
-
Germain, P.1
Lacasse, A.2
Laviolette, F.3
Marchand, M.4
-
11
-
-
84947403595
-
Probability inequalities for sums of bounded random variables
-
March
-
Hoeffding, Wassily. Probability inequalities for sums of bounded random variables. Journal of the American Statistical Association, 58(301): 13-30, March 1963.
-
(1963)
Journal of the American Statistical Association
, vol.58
, Issue.301
, pp. 13-30
-
-
Hoeffding, W.1
-
14
-
-
21844462365
-
Tutorial on practical prediction theory for classification
-
Langford, John. Tutorial on practical prediction theory for classification. Journal of Machine Learning Research (JMLR), 6:273-306, 2005.
-
(2005)
Journal of Machine Learning Research (JMLR)
, vol.6
, pp. 273-306
-
-
Langford, J.1
-
16
-
-
34547675833
-
PAC-bayes risk bounds for stochastic averages and majority votes of sample-compressed classifiers
-
Laviolette, Francois and Marchand, Mario. PAC-Bayes risk bounds for stochastic averages and majority votes of sample-compressed classifiers. Journal of Machine Learning Research (JMLR), 8:1461-1487, 2007.
-
(2007)
Journal of Machine Learning Research (JMLR)
, vol.8
, pp. 1461-1487
-
-
Laviolette, F.1
Marchand, M.2
-
17
-
-
67349277101
-
Transfer bounds for linear feature learning
-
Maurer, Andreas. Transfer bounds for linear feature learning. Machine Learning, 75(3):327-350, 2009.
-
(2009)
Machine Learning
, vol.75
, Issue.3
, pp. 327-350
-
-
Maurer, A.1
-
20
-
-
9444279514
-
Simplified PAC-Bayesian margin bounds
-
Springer
-
McAllester, David. Simplified PAC-Bayesian margin bounds. In Learning Theory and Kernel Machines, pp. 203-215. Springer, 2003.
-
(2003)
Learning Theory and Kernel Machines
, pp. 203-215
-
-
McAllester, D.1
-
21
-
-
84873465379
-
Pac-bayes bounds with data dependent priors
-
Parrado-Hernandez, Emilio, Ambroladze, Amiran, Shawe- Taylor, John, and Sun, Shiliang. PAC-Bayes bounds with data dependent priors. Journal of Machine Learning Research (JMLR), 13:3507-3531, 2012.
-
(2012)
Journal of Machine Learning Research (JMLR)
, vol.13
, pp. 3507-3531
-
-
Parrado-Hernandez, E.1
Ambroladze, A.2
Shawe- Taylor, J.3
Sun, S.4
-
26
-
-
84879905842
-
A feasible method for optimization with orthogonality constraints
-
Wen, Zaiwen and Yin, Wotao. A feasible method for optimization with orthogonality constraints. Mathematical Programming, 142(1-2):397-434, 2013.
-
(2013)
Mathematical Programming
, vol.142
, pp. 434
-
-
Wen, Z.1
Yin, W.2
-
27
-
-
33846487387
-
Multi-task learning for classification with dirichlet process priors
-
Xue, Ya, Liao, Xuejun, Carin, Lawrence, and Krishnapu- ram, Balaji. Multi-task learning for classification with Dirichlet process priors. Journal of Machine Learning Research (JMLR), 8:35-63, 2007.
-
(2007)
Journal of Machine Learning Research (JMLR)
, vol.8
, pp. 35-63
-
-
Xue, Y.1
Liao, X.2
Carin, L.3
Krishnapu- Ram, B.4
-
28
-
-
37849026107
-
Cross-domain video concept detection using adaptive SVMS
-
Yang, Jun, Yan, Rong, and Hauptmann, Alexander G. Cross-domain video concept detection using adaptive SVMs. In International Conference on Multimedia, pp. 188-197, 2007.
-
(2007)
International Conference on Multimedia
, pp. 188-197
-
-
Yang, J.1
Yan, R.2
Hauptmann, A.G.3
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