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Old 08-23-2012, 03:28 AM
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htlin htlin is offline
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Default Re: SVM to return probabilistic output

Quote:
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?

Thanks.

-Samir
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.
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