View Single Post
Old 08-23-2012, 03:28 AM
htlin's Avatar
htlin htlin is offline
Join Date: Aug 2009
Location: Taipei, Taiwan
Posts: 601
Default Re: SVM to return probabilistic output

Originally Posted by samirbajaj View Post
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?


Yes, there are several extensions of SVM for regression. One of which was proposed by the original SVM author, commonly named \epsilon-support vector regression. \epsilon-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.
When one teaches, two learn.
Reply With Quote