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.
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)
- 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$ {R} $
