Transcription of LIBSVM: A library for support vector machines
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LIBSVM: A library for support vector machines
27 LIBSVM: A library for support vector MachinesCHIH-CHUNG CHANG and CHIH-JEN LIN, National Taiwan UniversityLIBSVM is a library for support vector machines (SVMs). We have been actively developing this packagesince the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gainedwide popularity in machine learning and many other areas. In this article, we present all implementationdetails of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclassclassification probability estimates and parameter selection are discussed in and Subject Descriptors: [Pattern Recognition]: Design Methodology Classifier designand evaluation; [Numerical Analysis]: Optimization Quadratic programming methodsGeneral Terms: Algorithms, Performance, ExperimentationAdditional Key Words and Phrases: ClassificationLIBSVM optimization regression support vector machinesSVMACM Reference Format:Chang, and Lin, : A library for support vector machines .
27 LIBSVM: A Library for Support Vector Machines CHIH-CHUNG CHANG and CHIH-JEN LIN, National Taiwan University LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package
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