On Universum - Support Vector Machines ∗
نویسندگان
چکیده
Universum-support vector machine (U-SVM) is an elegant method for 2-class classification problem. It is systematically studied in this paper, including the existence and uniqueness of the primal problem as well as the relation between the solutions of primal problem and dual problem. We find that U-SVM uses 3-class classification approach to solve the 2-class classification problem. So we have compared K-support vector classification regression (K-SVCR) and support vector ordinal regression machine (SVORM). Our conclusion is that, selecting their parameters properly, these three models get the same decision function essentially.
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