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arXiv · 1609.09162

Universum Learning for Multiclass SVM

Sauptik Dhar·Naveen Ramakrishnan·Vladimir Cherkassky·Mohak Shah
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Abstract

We introduce Universum learning for multiclass problems and propose a novel formulation for multiclass universum SVM (MU-SVM). We also propose a span bound for MU-SVM that can be used for model selection thereby avoiding resampling. Empirical results demonstrate the effectiveness of MU-SVM and the proposed bound.

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Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky, Mohak Shah. 2016-09-29. Universum Learning for Multiclass SVM. https://arxiv.org/abs/1609.09162

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