Revision as of 13:03, 30 April 2014 by Liu192 (Talk | contribs)


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 {R}

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva