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| − | <font size="4">''' | + | <font size="4">''''Support Vector Machine and its Applications in Classification Problems''' <br> </font> <font size="2">A [https://www.projectrhea.org/learning/slectures.php slecture] by Xing Liu</font> |
Partially based on the [[2014_Spring_ECE_662_Boutin|ECE662 Spring 2014 lecture]] material of [[user:mboutin|Prof. Mireille Boutin]]. | Partially based on the [[2014_Spring_ECE_662_Boutin|ECE662 Spring 2014 lecture]] material of [[user:mboutin|Prof. Mireille Boutin]]. | ||
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* Introduction to support vector machines (SVM) | * Introduction to support vector machines (SVM) | ||
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* Summary | * Summary | ||
* References | * References | ||
Revision as of 08:59, 1 May 2014
'Support Vector Machine and its Applications in Classification Problems
A slecture by Xing Liu
Partially based on the ECE662 Spring 2014 lecture material of Prof. Mireille Boutin.
NOTE FROM INSTRUCTOR: I DO NOT COVER THIS TOPIC IN MY LECTURES. YOUR SLECTURE IS SUPPOSED TO BE BASED ON MY TEACHING MATERIAL. -PM
Outline of the slecture
- Introduction to support vector machines (SVM)
- Summary
- References
Introduction to support vector machines (SVM)
A linear machine is a classifier that divides the feature space into $ \it{c} $ decision regions$ {R} $
