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#7
08-23-2012, 03:28 AM
 htlin NTU Join Date: Aug 2009 Location: Taipei, Taiwan Posts: 601
Re: SVM to return probabilistic output

Quote:
 Originally Posted by samirbajaj And just out of curiosity - as an extension to the original question: Can SVMs be used for regression? If so, do they perform better than the regression methods we have learned about in the course? Thanks. -Samir
Yes, there are several extensions of SVM for regression. One of which was proposed by the original SVM author, commonly named -support vector regression. -SVR can be found in common SVM packages such as LIBSVM and shares many interesting properties with the classification one. The other is extended from linear regression, commonly named least-square SVM.

Hope this helps.
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