Revision as of 17:25, 2 May 2014 by Jiang282 (Talk | contribs)

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]


ECE662, Back to Spring 2014

Categories: Slecture | Support Vector Machines (SVM)

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva