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All publications by Stéphane Canu
authors venues years



Nonlinear functional regression: a functional RKHS approach
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu and Manuel Davy
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Support Vector Machines with a Reject Option
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet and Stéphane Canu
Advances in Neural Information Processing Systems 21, 2008


More efficiency in multiple kernel learning
Alain Rakotomamonjy, Stéphane Canu, Yves Grandvalet and Francis R. Bach
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"
Ga\"elle Loosli and Stéphane Canu
Journal of Machine Learning Research, 2007


Heteroscedastic Gaussian process regression
Quoc V. Le, Stéphane Canu and Alex J. Smola
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Frames, Reproducing Kernels, Regularization and Learning
Alain Rakotomamonjy and Stéphane Canu
Journal of Machine Learning Research, 2005


Learning with non-positive kernels
Cheng S. Ong, Xavier Mary, Stéphane Canu and Alex J. Smola
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Adaptive Scaling for Feature Selection in SVMs
Yves Grandvalet and Stéphane Canu
Advances in Neural Information Processing Systems 15, 2002