From regression to classification in support vector machines
نویسندگان
چکیده
We study the relation between support vector machines (SVMs) for regression (SVMR) and SVM for classification (SVMC). We show that for a given SVMC solution there exists a SVMR solution which is equivalent for a certain choice of the parameters. In particular our result is that for ǫ sufficiently close to one, the optimal hyperplane and threshold for the SVMC problem with regularization parameter Cc are equal to 1 1−ǫ times the optimal hyperplane and threshold for SVMR with regularization parameter Cr = (1−ǫ)Cc. A direct consequence of this result is that SVMC can be seen as a special case of SVMR.
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تاریخ انتشار 1999