Yves Grandvalet
Yves Grandvalet
CNRS/UTC
Verified email at utc.fr - Homepage
Title
Cited by
Cited by
Year
SimpleMKL
A Rakotomamonjy, FR Bach, S Canu, Y Grandvalet
Journal of Machine Learning Research 9 (Nov), 2491-2521, 2008
16082008
Semi-supervised learning by entropy minimization
Y Grandvalet, Y Bengio
Advances in neural information processing systems 17, 529-536, 2004
10112004
No unbiased estimator of the variance of k-fold cross-validation
Y Bengio, Y Grandvalet
Journal of machine learning research 5 (Sep), 1089-1105, 2004
8132004
Svm and kernel methods matlab toolbox
S Canu
http://asi. insa-rouen. fr/enseignants/~ arakoto/toolbox/index. html, 2005
5352005
More efficiency in multiple kernel learning
A Rakotomamonjy, F Bach, S Canu, Y Grandvalet
Proceedings of the 24th international conference on Machine learning, 775-782, 2007
3522007
Adaptive scaling for feature selection in SVMs
Y Grandvalet, S Canu
Advances in neural information processing systems 15, 569-576, 2002
2332002
Composite kernel learning
M Szafranski, Y Grandvalet, A Rakotomamonjy
Machine learning 79 (1-2), 73-103, 2010
1562010
Least absolute shrinkage is equivalent to quadratic penalization
Y Grandvalet
International Conference on Artificial Neural Networks, 201-206, 1998
1391998
Bagging equalizes influence
Y Grandvalet
Machine Learning 55 (3), 251-270, 2004
1332004
Noise injection: Theoretical prospects
Y Grandvalet, S Canu, S Boucheron
Neural Computation 9 (5), 1093-1108, 1997
1091997
Semi-supervised marginboost
F d'Alché-Buc, Y Grandvalet, C Ambroise
Advances in neural information processing systems 14, 553-560, 2001
1052001
Optimizing F-measures by cost-sensitive classification
S Puthiya Parambath, N Usunier, Y Grandvalet
Advances in Neural Information Processing Systems 27, 2123-2131, 2014
1022014
Support vector machines with a reject option
Y Grandvalet, A Rakotomamonjy, J Keshet, S Canu
Advances in neural information processing systems 21, 537-544, 2008
1002008
Outcomes of the equivalence of adaptive ridge with least absolute shrinkage
Y Grandvalet, S Canu
Advances in neural information processing systems, 445-451, 1999
911999
Inferring multiple graphical structures
J Chiquet, Y Grandvalet, C Ambroise
Statistics and Computing 21 (4), 537-553, 2011
872011
Explicit inductive bias for transfer learning with convolutional networks
LI Xuhong, Y Grandvalet, F Davoine
International Conference on Machine Learning, 2825-2834, 2018
66*2018
Combining two and three-way embedding models for link prediction in knowledge bases
A García-Durán, A Bordes, N Usunier, Y Grandvalet
Journal of Artificial Intelligence Research 55, 715-742, 2016
632016
A coverage-based approach to recommendation diversity on similarity graph
SA Puthiya Parambath, N Usunier, Y Grandvalet
Proceedings of the 10th ACM Conference on Recommender Systems, 15-22, 2016
562016
A probabilistic interpretation of SVMs with an application to unbalanced classification
Y Grandvalet, J Mariéthoz, S Bengio
Advances in Neural Information Processing Systems, 467-474, 2006
562006
Comments on" Noise injection into inputs in back propagation learning"
Y Grandvalet, S Canu
IEEE Transactions on Systems, Man, and Cybernetics 25 (4), 678-681, 1995
531995
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