MSVMpack: a multi-class support vector machine package. 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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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Murua, Alejandro; Wicker, Nicolas: Kernel-based mixture models for classification (2015)
- Djuric, Nemanja; Lan, Liang; Vucetic, Slobodan; Wang, Zhuang: BudgetedSVM: a toolbox for scalable SVM approximations (2013)
- Lauer, Fabien; Guermeur, Yann: MSVMpack: a multi-class support vector machine package (2011)