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== Introduction to support vector machines (SVM) == | == Introduction to support vector machines (SVM) == | ||
| − | + | A linear machine is a classifier that divides the feature space into </math>c</math> decision regions </math>{\it{R}}</math> | |
Revision as of 12:58, 30 April 2014
Least Squares Support Vector Machine and its Applications in Solving Linear Regression Problems
A slecture by Xing Liu
Partially based on the ECE662 Spring 2014 lecture material of Prof. Mireille Boutin.
Outline of the slecture
- Introduction to support vector machines (SVM)
- Least squares support vector machines (LS-SVM)
- Solving linear regression problems
- Summary
- References
Introduction to support vector machines (SVM)
A linear machine is a classifier that divides the feature space into </math>c</math> decision regions </math>{\it{R}}</math>
