Original paper

Redefining support vector machines with the ordered weighted average

Volume: 148, Pages: 41 - 46
Published: May 1, 2018
Abstract
In this work, the classical soft-margin Support Vector Machine (SVM) formulation is redefined with the inclusion of an Ordered Weighted Averaging (OWA) operator. In particular, the hinge loss function is rewritten as a weighted sum of the slack variables to guarantee adequate model fit. The proposed two-step approach trains a soft-margin SVM first to obtain the slack variables, which are then used to induce the order for the OWA operator in a...
Paper Details
Title
Redefining support vector machines with the ordered weighted average
Published Date
May 1, 2018
Volume
148
Pages
41 - 46
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