Support Vector Machines: Theory and Applications
The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications. Support Vector Ma...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2005. |
| Collection: | Studies in Fuzziness and Soft Computing
177 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Support Vector Machines: Theory and Applications, Texte imprimé, 9783540243885 • Support Vector Machines: Theory and Applications, Texte imprimé, 9783642063688 • Support Vector Machines: Theory and Applications, Texte imprimé, 9783540807032 • Support Vector Machines: Theory and Applications, Texte imprimé, 9783540243885 |