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Old 02-22-2013, 10:50 AM
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yaser yaser is offline
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Join Date: Aug 2009
Location: Pasadena, California, USA
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Default Re: Why not use soft margin SVM everytime?

The remark about using hard-margin SVM in non-separable cases was not a recommendation. It was to point out that if you use hard-margin SVM and the data turns out to be non-separable after all, this can be easily detected by checking the solution (if QP returns one) on the training data points. This relieves you from the need to determine linear separability before you apply hard-margin SVM. You can of course use soft-margin SVM in all cases.
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