Efficient parameter selection of support vector machines
Support Vector Machine (SVM) has, over the years established itself as an effective method for machine learning. SVM has strengths as such that it uses a kernel function to deal with arbitrary structured data which comprises of non-linear data sets. However, to fully optimize the benefits of using t...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Book Section |
| Published: |
Institute of Electrical and Electronics Engineers
2008
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/12555/ http://dx.doi.org/10.1007/978-3-540-69139-6-49 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|