Cited by 40,918Machine Learning and AlgorithmsMachine Learning and ELMMachine Learning and Data Classification

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LIBSVM: A library for support vector machines

Chang, Chih-Chung, Lin, Chih-Jen·2011·ACM Transactions on Intelligent Systems and Technology

DOI 10.1145/1961189.1961199

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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.

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10.1002/asmb.v21:2 · DOI
10.1023/A:1022627411411 · DOI
Joachims T., Advances in Kernel Methods -- Support Vector Learning, B. Schölkopf
Kressel U. H.-G., Advances in Kernel Methods -- Support Vector Learning, B. Schölkopf
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Authors: Chang, C.-C., & Lin, C.-J.
Affiliations: National Taiwan University (TW)
ORCID: Lin, Chih-Jen
Venue: ACM Transactions on Intelligent Systems and Technology
Publisher: Association for Computing Machinery (ACM)
Published: 2011-04
Volume: 2
Issue: 3
Pages: 1-27
ISSN: 2157-6904 (ISSN-L)
2157-6912
DOI: 10.1145/1961189.1961199
OpenAlex: W2153635508
Cited by: 40,918
References: 55
Citations by year: 2026: 462 · 2025: 825 · 2024: 916 · 2023: 1155 · 2022: 1487 · 2021: 1910 · 2020: 2233 · 2019: 2526 · 2018: 2850 · 2017: 3142 · 2016: 3468 · 2015: 3562 · 2014: 3302 · 2013: 2936 · 2012: 2306
FWCI: 3060.22
Type: journal article
Language: en
Open access: closed
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations: ACM Transactions on Intelligent Systems and Technology (publishedVersion)
Funders: National Science Council Taiwan (NSC 89-2213-E-002-013NSC 89-2213-E-002-106)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and ELM
Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
Keywords: LIBSVM, support vector machine, convergence analysis, multi-class classification, probability estimates, parameter selection, software implementation

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LIBSVM: A library for support vector machines

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