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A [https://www.projectrhea.org/learning/slectures.php slecture] by student Tao Jiang | 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_Spring_ECE_662_Boutin ECE662 Spring 2014 lecture] material of [https://www.projectrhea.org/rhea/index.php/User:Mboutin Prof. Mireille Boutin] | + | 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] |
</center> | </center> | ||
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References: | References: | ||
| − | * [ | + | * [[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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Revision as of 06:33, 15 May 2014
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.
