Article

LIBSVM

Chih-Chung ChangNational Taiwan University, Taipei, TaiwanChih‐Jen LinNational Taiwan University, Taipei, Taiwan

2011en

ABI

Abstract

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.

Identifiers

DOI: 10.1145/1961189.1961199

Citations and references

Cited by 50 references

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