(New page: == Support Vector Machines == A [https://www.projectrhea.org/learning/slectures.php Slecture] by student Tao Jiang Partly based on the [https://www.projectrhea.org/rhea/index.php/2014_Sp...)
 
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Contents
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# Basic idea of SVM
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# Slack Variables
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# How to solve SVM (Quadratic Programming Problem)
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# Multi-classification
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# Choosing Parameters
  
 
  '''[Link to Video on Youtube]
 
  '''[Link to Video on Youtube]
 
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Revision as of 16:25, 2 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

  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)

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