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libsvm_2.91.orig.tar.gz

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/libsvm-2.91/README

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 
http://www.csie.ntu.edu.tw/~cjlin/libsvm
Ple
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/libsvm-2.91/python/README

----------------------------------
--- Python interface of LIBSVM ---
----------------------------------

Table of Contents
=================

- Introduction
- Installation
- Quick Start
- Design Description
- Data Structures 
- Utility Functions
- Additional Information


Introduction
============

Python (http://www.python.org/) is a programming language suitable for rapid
development. This tool
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/libsvm-2.91/python_old/README

* This version is going to be obsolete in the next version.

Python-to-libsvm interface

Table of Contents
=================

- Introduction
- Installation
- Usage
- Examples

Introduction
============

Python (http://www.python.org/) is a programming language suitable for
rapid development. This python-to-libsvm interface is developed so 
users can easily experiment with libsvm using python. The 
more»

/libsvm-2.91/tools/README

This directory includes some useful codes:

1. subset selection tools.
2. parameter selection tools.
more»

/libsvm-2.91/FAQ.html

<html>
<head>
<title>LIBSVM FAQ</title>
</head>
<body bgcolor="#ffffcc">

<a name="_TOP"><b><h
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/libsvm-2.91/COPYRIGHT

Copyright (c) 2000-2010 Chih-Chung Chang and Chih-Jen Lin
All rights reserved.

Redistribution and 
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