论文标题

libtwinsvm:双支持向量机的库

LIBTwinSVM: A Library for Twin Support Vector Machines

论文作者

Mir, Amir M., Rahbar, Mahdi, Nasiri, Jalal A.

论文摘要

本文介绍了libtwinsvm,这是双支持向量机(TSVM)的免费,高效和开源库。我们的库提供了一组有用的功能,例如快速TSVM估计器,模型选择,可视化,图形用户界面(GUI)应用程序和Python应用程序编程接口(API)。基准结果表明LIBTWINSVM库在大规模分类问题上的有效性。 LIBTWINSVM库,安装指南,文档和使用示例的源代码可在https://github.com/mir-am/libtwinsvm上获得。

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.

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