Items where Author is "Bousquet, Olivier"

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Number of items: 5.

Conference or Workshop Item (A Paper)

Hein, Matthias and Bousquet, Olivier
(2005) Hilbertian Metrics and Positive Definite Kernels on Probability Measures.
In: Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, AISTATS 2005, Bridgetown, Barbados, January 6-8, 2005.

Hein, Matthias and Lal, Thomas Navin and Bousquet, Olivier
(2004) Hilbertian Metrics on Probability Measures and Their Application in SVM?s.
In: Pattern Recognition, 26th DAGM Symposium, August 30 - September 1, 2004, Tübingen, Germany, Proceedings.

Hein, Matthias and Bousquet, Olivier
(2003) Maximal Margin Classification for Metric Spaces.
In: Computational Learning Theory and Kernel Machines, 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings.

Bousquet, Olivier and Chapelle, Olivier and Hein, Matthias
(2003) Measure Based Regularization.
In: Advances in Neural Information Processing Systems 16 Neural Information Processing Systems, {NIPS} 2003, December 8-13, 2003, Vancouver and Whistler, British Columbia, Canada.

Article

Hein, Matthias and Bousquet, Olivier and Schölkopf, Bernhard
(2005) Maximal margin classification for metric spaces.
J. Comput. Syst. Sci., 71 (3). 333–359.

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