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Paper detail

LIBTwinSVM: A Library for Twin Support Vector Machines

This paper presents LIBTwinSVM, a free, efficient, and open source library for Twin Support Vector Machines (TSVMs). Our library provides a set of useful functionalities such as fast TSVMs estimators, model selection, visualization, a graphical user interface (GUI) application, and a Python application programming interface (API). The benchmarks results indicate the effectiveness of the LIBTwinSVM library for large-scale classification problems. The source code of LIBTwinSVM library, installation guide, documentation, and usage examples are available at https://github.com/mir-am/LIBTwinSVM.

preprint2020arXivOpen access
Amir M. MirMahdi RahbarJalal A. Nasiri
Machine Learning
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Amir M. MirMahdi RahbarJalal A. Nasiri

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