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| − | A [ | + | A [http://www.projectrhea.org/learning/slectures.php slecture] by student Tao Jiang |
Partly based on the [[2014_Spring_ECE_662_Boutin_Statistical_Pattern_recognition_slectures| ECE662 Spring 2014 lecture]] material of [[User:Mboutin| Prof. Mireille Boutin]] | Partly based on the [[2014_Spring_ECE_662_Boutin_Statistical_Pattern_recognition_slectures| ECE662 Spring 2014 lecture]] material of [[User:Mboutin| Prof. Mireille Boutin]] | ||
Latest revision as of 10:56, 22 January 2015
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.
