LIBSVM: A Library for Support Vector Machines

被引：24719

作者：

Chang, Chih-Chung ^{[1
]}

Lin, Chih-Jen ^{[1
]}

机构：

[1] Natl Taiwan Univ, Dept Comp Sci, Taipei 106, Taiwan

来源：

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY | 2011年 / 2卷 / 03期

基金：

美国国家科学基金会;

关键词：

Algorithms; Performance; Experimentation; Classification LIBSVM optimization regression support vector machines SVM; WORKING SET SELECTION;

D O I：

10.1145/1961189.1961199

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：27

共 36 条

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