Support Vector Machine - Rhea

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

1. Basic idea of SVM
2. Slack Variables
3. How to solve SVM (Quadratic Programming Problem)
4. Multi-classification
5. 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

ECE662, Back to Spring 2014

Categories: Slecture | Support Vector Machines (SVM)