Kernel based algorithms for mining huge data sets : supervised, semi-supervised, and unsupervised learning
"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in...
Guardat en:
| Autors principals: | , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2006.
Cham : Springer Nature |
| Col·lecció: | Studies in Computational Intelligence
17 |
| Matèries: | |
| 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: | • Kernel Based Algorithms for Mining Huge Data Sets, Texte imprimé, 9783642068560 • Kernel Based Algorithms for Mining Huge Data Sets, Texte imprimé, 9783540819974 • Kernel Based Algorithms for Mining Huge Data Sets, Texte imprimé, 9783540316817 |