LIBSVM A Library for Support Vector Machines
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LIBSVM Tags

library Vector Machine vector classification SVM library SVM classify

LIBSVM Description

A Library for Support Vector Machines LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM ). LIBSVM also offers support for multi-class classification. Here are some key features of "LIBSVM": · Different SVM formulations · Efficient multi-class classification · Cross validation for model selection · Probability estimates · Weighted SVM for unbalanced data · Both C++ and Java sources · GUI demonstrating SVM classification and regression · Python, R (also Splus), MATLAB, Perl, Ruby, Weka, Common LISP and LabVIEW interfaces. C# .NET code is available. It's also included in some learning environments: YALE and PCP. · Automatic model selection which can generate contour of cross valiation accuracy. What's New in This Release: · Improved the gradient reconstructions in doing shrinking.

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