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.
Type de document :
Communication dans un congrès
IEEE International Joint Conference on Neural Networks 2000 - IJCNN 2000, 2000, Come, Italie, IV, pp.183-188, 2000
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https://hal.inria.fr/inria-00099215
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Soumis le : mardi 26 septembre 2006 - 08:51:48
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00099215, version 1

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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, IV, pp.183-188, 2000. 〈inria-00099215〉

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