LIBTwinSVM: A Library for Twin Support Vector Machines
Machine Learning
2020-01-29 v1 Machine Learning
Abstract
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.
Cite
@article{arxiv.2001.10073,
title = {LIBTwinSVM: A Library for Twin Support Vector Machines},
author = {Amir M. Mir and Mahdi Rahbar and Jalal A. Nasiri},
journal= {arXiv preprint arXiv:2001.10073},
year = {2020}
}