LIBSVM: A Library for Support Vector Machines
LIBSVM: A Library for Support Vector Machines
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DOI：
10.1145/1961189.1961199
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发表时间：
2011-01-01
影响因子：
5
通讯作者：
Lin, Chih-Jen
中科院分区：
文献类型：
--
作者：
Chang, Chih-Chung;Lin, Chih-Jen
LIBSVM是一个支持向量机（SVM）库。自2000年以来，我们一直在积极制定这一一揽子计划。我们的目标是帮助用户轻松地将SVM应用到他们的应用程序中。LIBSVM在机器学习和许多其他领域获得了广泛的普及。在本文中，我们将介绍LIBSVM的所有实现细节。对支持向量机优化问题的求解、理论收敛性、多类分类概率估计和参数选择等问题进行了详细讨论。
LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.