Rule Extraction from Support Vector Machines
Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost an inherent inability to explain in a comprehe...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2008. |
| Col·lecció: | Studies in Computational Intelligence
80 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Rule Extraction from Support Vector Machines, Texte imprimé, 9783642094637 • Rule Extraction from Support Vector Machines, Texte imprimé, 9783540844518 • Rule Extraction from Support Vector Machines, Texte imprimé, 9783540753896 • Rule Extraction from Support Vector Machines, Texte imprimé, 9783642094637 • Rule Extraction from Support Vector Machines, Texte imprimé, 9783540844518 • Rule Extraction from Support Vector Machines, Texte imprimé, 9783540753896 |