InforLorV4, PascalFrancis, Corpus, bibRecord, 000088

A generic model of multi-class support vector machine

Identifieur interne : 000088 ( PascalFrancis/Corpus ); précédent : 000087; suivant : 000089

A generic model of multi-class support vector machine

Auteurs : Yann Guermeur

Source :

International journal of intelligent information and database systems : (Print) [ 1751-5858 ] ; 2012.

RBID : Pascal:13-0097303

Descripteurs français

Pascal (Inist)
- Reconnaissance forme, Modélisation, Classification à vaste marge, Analyse statistique, Sélection modèle, Ajustement modèle, ., Classification multiple.

English descriptors

KwdEn :
- Model matching, Model selection, Modeling, Multiple classification, Pattern recognition, Statistical analysis, Vector support machine.

Abstract

Roughly speaking, there is one main model of pattern recognition support vector machine, with several variants of lower popularity. On the contrary, among the different multi-class support vector machines which can be found in literature, none is clearly favoured. On the one hand, they exhibit distinct statistical properties. On the other hand, multiple comparative studies between multi-class support vector machines and decomposition methods have highlighted the fact that in practice, each model has its advantages and drawbacks. In this article, we introduce a generic model of multi-class support vector machine. It provides the first unifying definition of all the machines of this kind published so far. This contribution makes it possible to devise new machines meeting specific requirements as well as to analyse globally the statistical properties of the multi-class support vector machines.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A08	`01`	`1`	`ENG`	`@1 A generic model of multi-class support vector machine`
A09	`01`	`1`	`ENG`	`@1 OPTIMISATION AND LEARNING THEORY, ALGORITHMS AND APPLICATIONS`
A11	`01`	`1`		`@1 GUERMEUR (Yann)`
A12	`01`	`1`		`@1 HOAI AN LE THI @9 ed.`
A14	`01`			`@1 LORIA-CNRS, Campus Scientifique, BP 239 @2 54506 Vandœuvre-lès-Nancy @3 FRA @Z 1 aut.`
A15	`01`			`@1 Laboratory of Theoretical and Applied Computer Science, UFR MIM, University of Lorraine, Ile du Saulcy @2 57045 Metz @3 FRA @Z 1 aut.`
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A23	`01`			`@0 ENG`
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A47	`01`	`1`		`@0 13-0097303`
A60				`@1 P @2 C`
A61				`@0 A`
A64	`01`	`1`		`@0 International journal of intelligent information and database systems : (Print)`
A66	`01`			`@0 CHE`
C01	`01`		`ENG`	@0 Roughly speaking, there is one main model of pattern recognition support vector machine, with several variants of lower popularity. On the contrary, among the different multi-class support vector machines which can be found in literature, none is clearly favoured. On the one hand, they exhibit distinct statistical properties. On the other hand, multiple comparative studies between multi-class support vector machines and decomposition methods have highlighted the fact that in practice, each model has its advantages and drawbacks. In this article, we introduce a generic model of multi-class support vector machine. It provides the first unifying definition of all the machines of this kind published so far. This contribution makes it possible to devise new machines meeting specific requirements as well as to analyse globally the statistical properties of the multi-class support vector machines.
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C03	`01`	`X`	`SPA`	`@0 Reconocimiento patrón @5 06`
C03	`02`	`X`	`FRE`	`@0 Modélisation @5 23`
C03	`02`	`X`	`ENG`	`@0 Modeling @5 23`
C03	`02`	`X`	`SPA`	`@0 Modelización @5 23`
C03	`03`	`X`	`FRE`	`@0 Classification à vaste marge @5 24`
C03	`03`	`X`	`ENG`	`@0 Vector support machine @5 24`
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A30	`01`	`1`	`ENG`	`@1 'Optimisation and learning' workshop @3 Metz FRA @4 2010-06-17`

Format Inist (serveur)

NO :	PASCAL 13-0097303 INIST
ET :	A generic model of multi-class support vector machine
AU :	GUERMEUR (Yann); HOAI AN LE THI
AF :	LORIA-CNRS, Campus Scientifique, BP 239/54506 Vandœuvre-lès-Nancy/France (1 aut.); Laboratory of Theoretical and Applied Computer Science, UFR MIM, University of Lorraine, Ile du Saulcy/57045 Metz/France (1 aut.)
DT :	Publication en série; Congrès; Niveau analytique
SO :	International journal of intelligent information and database systems : (Print); ISSN 1751-5858; Suisse; Da. 2012; Vol. 6; No. 6; Pp. 555-577; Bibl. 1 p.1/4
LA :	Anglais
EA :	Roughly speaking, there is one main model of pattern recognition support vector machine, with several variants of lower popularity. On the contrary, among the different multi-class support vector machines which can be found in literature, none is clearly favoured. On the one hand, they exhibit distinct statistical properties. On the other hand, multiple comparative studies between multi-class support vector machines and decomposition methods have highlighted the fact that in practice, each model has its advantages and drawbacks. In this article, we introduce a generic model of multi-class support vector machine. It provides the first unifying definition of all the machines of this kind published so far. This contribution makes it possible to devise new machines meeting specific requirements as well as to analyse globally the statistical properties of the multi-class support vector machines.
CC :	001D02B07B
FD :	Reconnaissance forme; Modélisation; Classification à vaste marge; Analyse statistique; Sélection modèle; Ajustement modèle; .; Classification multiple
ED :	Pattern recognition; Modeling; Vector support machine; Statistical analysis; Model selection; Model matching; Multiple classification
SD :	Reconocimiento patrón; Modelización; Máquina ejemplo soporte; Análisis estadístico; Selección modelo; Ajustamiento modelo; clasificación múltiple
LO :	INIST-27952.354000505462750030
ID :	13-0097303

Links to Exploration step

Pascal:13-0097303

Le document en format XML

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A generic model of multi-class support vector machine

A generic model of multi-class support vector machine

Source :

Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri