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== Support Vector Machines ==
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'''Support Vector Machines''' <br />
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A [https://www.projectrhea.org/learning/slectures.php Slecture] by student Tao Jiang
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A [http://www.projectrhea.org/learning/slectures.php slecture] by student Tao Jiang
  
Partly based on the [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] and Bishop's "Pattern Recognition and Machine Learning" Book
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Partly based on the [[2014_Spring_ECE_662_Boutin_Statistical_Pattern_recognition_slectures| ECE662 Spring 2014 lecture]] material of [[User:Mboutin| Prof. Mireille Boutin]]
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Contents
 
Contents
# Basic idea of SVM
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# Basic ideas of SVM
 
# Slack Variables
 
# Slack Variables
 
# How to solve SVM (Quadratic Programming Problem)
 
# How to solve SVM (Quadratic Programming Problem)
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<youtube>QBfEA0LhP8I</youtube>
 
<youtube>QBfEA0LhP8I</youtube>
 
</center>
 
</center>
 
 
References:
 
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]
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* [[2014_Spring_ECE_662_Boutin| ECE662 Spring 2014 lecture]] material of [[User:Mboutin| Prof. Mireille Boutin]]
 
* Bishop's "Pattern Recognition and Machine Learning" Book
 
* Bishop's "Pattern Recognition and Machine Learning" Book
 
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==[[Review_on_Support_Vector_Machine|Questions and comments]]==
  
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If you have any questions, comments, etc. please post them on [[Review_on_Support_Vector_Machine| this page]].
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[https://www.projectrhea.org/rhea/index.php/2014_Spring_ECE_662_Boutin ECE662, Back to Spring 2014]
 
[https://www.projectrhea.org/rhea/index.php/2014_Spring_ECE_662_Boutin ECE662, Back to Spring 2014]
  
Categories: [https://www.projectrhea.org/learning/slectures.php Slecture] | Support Vector Machines (SVM)
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[[Category:Slecture]] [[Category:Support_Vector_Machine]] [[Category:ECE662Spring2014Boutin]] [[Category:ECE]] [[Category:ECE662]]

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

  1. Basic ideas 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:



Questions and comments

If you have any questions, comments, etc. please post them on this page.


ECE662, Back to Spring 2014

Alumni Liaison

Questions/answers with a recent ECE grad

Ryne Rayburn