A new multi-class SVM based on a uniform convergence result

Yann Guermeur 1 André Elisseeff Hélène Paugam-Moisy
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We introduce a new support vector machine devoted to the approximation of multi-class discriminant functions. Its training procedure consists in minimizing a new expression of the guaranteed risk. This bound is significantly tighter than the former ones, which should make the implementation of the structural risk minimization inductive principle in the context of multi-class discrimination better grounded.
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Conference papers
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https://hal.inria.fr/inria-00099215
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Submitted on : Tuesday, September 26, 2006 - 8:51:48 AM
Last modification on : Thursday, January 11, 2018 - 6:19:48 AM

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Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy. A new multi-class SVM based on a uniform convergence result. IEEE International Joint Conference on Neural Networks 2000 - IJCNN 2000, 2000, Come, Italie, pp.183-188. ⟨inria-00099215⟩

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