Fast SVM training algorithm with decomposition on very large data sets
Training a support vector machine on a data set of huge size with thousands of classes is a challenging problem. This paper proposes an efficient algorithm to solve this problem. The key idea is to introduce a parallel optimization step to quickly remove most of the nonsupport vectors, where block d...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 27(2005), 4 vom: 14. Apr., Seite 603-618 |
|---|---|
| 1. Verfasser: | |
| Weitere Verfasser: | , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2005
|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't |
| Online verfügbar |
Volltext |