A new multi-class SVM based on a uniform convergence result
Identifieur interne : 000890 ( PascalFrancis/Corpus ); précédent : 000889; suivant : 000891A new multi-class SVM based on a uniform convergence result
Auteurs : Yann Guermeur ; André Elisseeff ; Hélène Paugam-MoisySource :
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
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.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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Format Inist (serveur)
NO : | PASCAL 02-0121845 INIST |
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ET : | A new multi-class SVM based on a uniform convergence result |
AU : | GUERMEUR (Yann); ELISSEEFF (André); PAUGAM-MOISY (Hélène); AMARI (Shun-Ichi); GILES (C. Lee); GORI (Marco); PIURI (Vincenzo) |
AF : | LORIA, Campus Scientifique, BP 239/54506 Vandœuvre-lès-Nancy/France (1 aut.); ERIC, Université Lumière Lyon 2, 5, avenue Pierre Mendès-France/69676 Bron/France (2 aut., 3 aut.) |
DT : | Congrès; Niveau analytique |
SO : | IEEE-INNS-ENNS international joint conference on neural networks/2000-07-24/Como ITA; Etats-Unis; Los Alamitos CA: IEEE Computer Society; Da. 2000; Vol4.183-188; ISBN 0-7695-0619-4 |
LA : | Anglais |
EA : | 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. |
CC : | 001D02C06 |
FD : | Intelligence artificielle; Discrimination; Analyse donnée; Réseau neuronal; Apprentissage probabilités; Machine support vecteur |
ED : | Artificial intelligence; Discrimination; Data analysis; Neural network; Probability learning; Vector support machine |
SD : | Inteligencia artificial; Discriminación; Análisis datos; Red neuronal; Aprendizaje probabilidades |
LO : | INIST-Y 33704.354000097049262430 |
ID : | 02-0121845 |
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Pascal:02-0121845Le document en format XML
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