Publication | Closed Access
LIBSVM
41.1K
Citations
43
References
2011
Year
Data ClassificationSupport Vector MachineClassification MethodImage AnalysisMachine VisionData ScienceMachine LearningPattern RecognitionData MiningBiometricsImplementation DetailsKnowledge DiscoveryEngineeringAutomatic ClassificationComputer ScienceSupport Vector MachinesClassifier SystemComputer Vision
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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