Meta learning on string kernel SVMs for string categorization
Even though Support Vector Machines (SVMs) are capable of identifying patterns in high dimensional spaces that are presented by kernels without a computational decrease, their performance is determined by two main factors: SVM cost param- eter and kernel parameters. It is empirically proven that the...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Published: |
Auckland University of Technology,
2010-11-25T23:11:21Z.
|
| Subjects: | |
| Online Access: | Get fulltext |