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...
Wedi'i Gadw mewn:
| Prif Awduron: | , , |
|---|---|
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2006.
Cham : Springer Nature |
| Cyfres: | Studies in Computational Intelligence
17 |
| Pynciau: | |
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nodyn: |
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 |
Tabl Cynhwysion:
- Support Vector Machines in Classification and Regression An Introduction
- Iterative Single Data Algorithm for Kernel Machines from Huge Data Sets: Theory and Performance
- Feature Reduction with Support Vector Machines and Application in DNA Microarray Analysis
- Semi-supervised Learning and Applications
- Unsupervised Learning by Principal and Independent Component Analysis.