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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>\it{c}</math> decision regions {R} | + | A linear machine is a classifier that divides the feature space into <math>\it{c}</math> decision regions <math>\it{R}</math> |
Revision as of 13:03, 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 $ \it{c} $ decision regions $ \it{R} $
