| Line 13: | Line 13: | ||
# Choosing Parameters | # Choosing Parameters | ||
| − | + | ==[http://youtu.be/QBfEA0LhP8I Link to Video on Youtube]== | |
| − | + | <center> | |
| + | <youtube>QBfEA0LhP8I</youtube> | ||
| + | </center> | ||
| + | References: | ||
| + | * [https://www.projectrhea.org/rhea/index.php/2014_Spring_ECE_662_Boutin ECE662 Spring 2014 lecture] material of [https://www.projectrhea.org/rhea/index.php/User:Mboutin Prof. Mireille Boutin] | ||
| + | * Bishop's "Pattern Recognition and Machine Learning" Book | ||
---- | ---- | ||
Revision as of 03:22, 3 May 2014
Support Vector Machines
A Slecture by student Tao Jiang
Partly based on the ECE662 Spring 2014 lecture material of Prof. Mireille Boutin and Bishop's "Pattern Recognition and Machine Learning" Book
Contents
- Basic idea 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
Categories: Slecture | Support Vector Machines (SVM)
