LIBSVM

National Taiwan University

Indexed incrossref

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.

Citation impact

41,300
total citations
FWCI
2747.83
Percentile
100%
References
55
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • Support vector machine
  • Popularity
  • Machine learning
  • Artificial intelligence
  • Selection (genetic algorithm)
  • Convergence (economics)
  • Multiclass classification
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Funding