(New page: <br> <center><font size="4"></font> <font size="4">'''Least Squares Support Vector Machine and its Applications in Solving Linear Regression Problems''' <br> </font> <font size="2">A [ht...) |
|||
| Line 21: | Line 21: | ||
---- | ---- | ||
| − | == Introduction == | + | == Introduction to support vector machines (SVM) == |
| + | a support vector machine constructs a hyperplane or set of hyperplanes in a high- or infinite-dimensional space, which can be used for classification, regression, or other tasks. | ||
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 support vector machine constructs a hyperplane or set of hyperplanes in a high- or infinite-dimensional space, which can be used for classification, regression, or other tasks.
