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...
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| Главный автор: | |
|---|---|
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Редактирование: | 1st ed. 2005. |
| Серии: | Studies in Fuzziness and Soft Computing
177 |
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
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 |