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Revision as of 11:08, 21 May 2014
Support Vector Machines
A slecture by student Tao Jiang
Partly based on the ECE662 Spring 2014 lecture material of Prof. Mireille Boutin
Contents
- Basic ideas of SVM
- Slack Variables
- How to solve SVM (Quadratic Programming Problem)
- Multi-classification
- Choosing Parameters
Link to Video on Youtube
References:
- ECE662 Spring 2014 lecture material of Prof. Mireille Boutin
- Bishop's "Pattern Recognition and Machine Learning" Book
Questions and comments
If you have any questions, comments, etc. please post them on this page.
