PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

MSVMpack: a multi-class support vector machine package
Fabien Lauer and Yann Guermeur
Journal of Machine Learning Research (JMLR) Volume 12, pp. 2293-2296, 2011.

Abstract

This paper describes MSVMpack, an open source software package dedicated to our generic model of multi-class support vector machine. All four multi-class support vector machines (M-SVMs) proposed so far in the literature appear as instances of this model. MSVMpack provides for them the first unified implementation and offers a convenient basis to develop other instances. This is also the first parallel implementation for M-SVMs. The package consists in a set of command-line tools with a callable library. The documentation includes a tutorial, a user's guide and a developer's guide.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:8302
Deposited By:Yann Guermeur
Deposited On:13 October 2011