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ATOMS : libsvm - A Library for Linear and Support Vector Classification details
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libsvm - A Library for Linear and Support Vector Classification

LIBSVM is an integrated software for support vector classification and large linear classification
(1693 downloads for this version - 27576 downloads for all versions)
Details
Version
1.2
A more recent valid version with binaries for Scilab 5.3 exists: 1.4.1
Authors
Holger Nahrstaedt
Chih-Chung Chang
Chih-Jen Lin
Owner Organization
Technische Universitat Berlin
Maintainer
Holger Nahrstaedt
License
Creation Date
November 30, 2011
Source created on
Scilab 5.3.x
Binaries available on
Scilab 5.3.x:
Linux 32-bit Windows 32-bit Windows 64-bit Linux 64-bit
Install command
--> atomsInstall("libsvm")
Description
            This tool provides a simple interface to LIBSVM, a library for support vector
machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm).
It is very easy to use as
the usage and the way of specifying parameters are the same as that of LIBSVM.

This tool provides  also a simple interface to LIBLINEAR, a library for
large-scale regularized linear classification (http://www.csie.ntu.edu.tw/~cjlin/liblinear).
 It is very easy to use as the usage and the way of specifying parameters are
the same as that of LIBLINEAR.

This Toolbox is compatible with the NaN-toolbox!

Changelog
============
1.2
 - the Nan-Toolbox 1.3 is compatible to this toolbox now!
 - improved help-files
 - improved demos
 - LIBLINEAR with optional instance weight support
1.1
 - improved demos
 - works under Windows
 - new function: svmnormalize 
1.0
 - first release of libsvm - toolbox




This interface was initially written by Jun-Cheng Chen, Kuan-Jen Peng,
Chih-Yuan Yang and Chih-Huai Cheng from Department of Computer
Science, National Taiwan University. 

It was converted to Scilab 5.3 by Holger Nahrstaedt from TU Berlin.

If you find this tool useful, please cite LIBSVM as follows

Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support
vector machines. ACM Transactions on Intelligent Systems and
Technology, 2:27:1--27:27, 2011. Software available at
http://www.csie.ntu.edu.tw/~cjlin/libsvm

Please cite LIBLINEAR as follows

R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin.
LIBLINEAR: A Library for Large Linear Classification, Journal of
Machine Learning Research 9(2008), 1871-1874.Software available at
http://www.csie.ntu.edu.tw/~cjlin/liblinear

            
Files (5)
[113.77 kB]
Source code archive

[215.52 kB]
Linux 32-bit binary for Scilab 5.3.x
Linux 32-bit
Automatically generated by the ATOMS compilation chain

[245.34 kB]
Windows 32-bit binary for Scilab 5.3.x
Windows 32-bit
Automatically generated by the ATOMS compilation chain

[254.72 kB]
Windows 64-bit binary for Scilab 5.3.x
Windows 64-bit
Automatically generated by the ATOMS compilation chain

[224.92 kB]
Linux 64-bit binary for Scilab 5.3.x
Linux 64-bit
Automatically generated by the ATOMS compilation chain

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