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

libsvm - A Library for Linear and Support Vector Classification

LIBSVM is an integrated software for support vector classification and large linear classification
(3421 downloads for this version - 77838 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
Upload date : 2011年12月01日 09:30:41
MD5 : b4a300dcbab6440bc8ceec0c2f2288cf
SHA1 : b2f54c01ae25cec709c3ee6793a46ebc6bf77520
Downloads : 745
 File list
 
[215.52 kB]
Linux 32-bit binary for Scilab 5.3.x
Linux 32-bit
Automatically generated by the ATOMS compilation chain
Upload date : 2011年12月01日 10:20:13
MD5 : 9f41292e72fb579ec6449efce9a2a922
SHA1 : efd12dabc268dc2184a57e562cf768c66b68cf25
Downloads : 712
 File list
 
[245.34 kB]
Windows 32-bit binary for Scilab 5.3.x
Windows 32-bit
Automatically generated by the ATOMS compilation chain
Upload date : 2011年12月01日 11:36:47
MD5 : dc64addd3d65e0f7226b5610c945c221
SHA1 : 2878a7e79a77af81a0af19c2d3b1bbac38788389
Downloads : 291
 File list
 
[254.72 kB]
Windows 64-bit binary for Scilab 5.3.x
Windows 64-bit
Automatically generated by the ATOMS compilation chain
Upload date : 2011年12月01日 11:38:10
MD5 : aa7218c519cbe63e3f8dcfa8d3cbe01a
SHA1 : 25a186403150b610900870905d2ff921e1147f3e
Downloads : 622
 File list
 
[224.92 kB]
Linux 64-bit binary for Scilab 5.3.x
Linux 64-bit
Automatically generated by the ATOMS compilation chain
Upload date : 2011年12月01日 10:20:52
MD5 : 8b50e91e6c8eac086f536df56ce87686
SHA1 : 4e7f069ef2764e8190a2414bba0c11f3c095e642
Downloads : 1051
 File list
 
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