计算机科学
支持向量机
人气
机器学习
人工智能
选择(遗传算法)
趋同(经济学)
多类分类
数据挖掘
心理学
经济增长
社会心理学
经济
作者
Chih-Chung Chang,Chih‐Jen Lin
标识
DOI:10.1145/1961189.1961199
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.
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