LIBSVM: a library for support vector machines
CC Chang, CJ Lin - ACM transactions on intelligent systems and …, 2011 - dl.acm.org
CC Chang, CJ Lin
ACM transactions on intelligent systems and technology (TIST), 2011•dl.acm.orgLIBSVM 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.
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.
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.
ACM Digital Library