library implementing support vector machines
The LIBSVM library is used to calculate Support Vector Machine optimizations
with a great variety of powerful options. It includes one-class, two-class,
multiclass, regression-mode, and probablistic output functionality. It is
primarily of interest to machine-learning researchers and artificial
intelligence application developers.
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This document explains the use of libsvm.
Libsvm is available at
libsvm (3.12-1) unstable; urgency=low
* New upstream release
* Remove patchsys-quilt.mk and upgrade to packaging format "3.0 quilt".
* Update to Standards-Version to 3.9.3 and debhelper to 9.
* Change obsolete depends default-jdk-builddep to default-jdk.
* Fix description-synopsis-starts-with-article (Lintian).
* Fix extended-description-is-pro
This package was debianized by Rudi Cilibrasi <email@example.com> on
Sat, 3 Jun 2006 19:01:08 +0200.
It was downloaded from http://www.csie.ntu.edu.tw/~cjlin/libsvm/
Upstream Authors: Chih-Chung Chang and Chih-Jen Lin <firstname.lastname@example.org>
Copyright (c) 2000-2005 Chih-Chung Chang and Chih-Jen Lin
All rights reserved.
Redistribution and use in source and binary forms, with or w
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