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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.

Alumni Liaison

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

Francisco Blanco-Silva