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 compre...
| Corporate Author: | |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
|
| Series: | Studies in Computational Intelligence,
80 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
