📄 8.txt
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发信人: GzLi (笑梨), 信区: DataMining
标 题: matlab svm toolbox <2>
发信站: 南京大学小百合站 (Tue Apr 23 20:45:15 2002), 站内信件
http://eewww.eng.ohio-state.edu/~maj/osu_svm/osu_svm3.00.zip
Compared with other available SVM packages, our OSU SVM toolbox has the
following major features:
(1) SVM Classifier implemented as Matlab toolbox enables its users take
full advantage of the convenience of the Matlab platform.
(2) By virtue of Matlab's mex mechanism, this toolbox implements SVM
classifiers in C++ using Chih-Chung Chang and Chih-Jen Lin's LIBSVM
algorithm (COPYRIGHT_libsvm). Consequently, it is so fast that it is
comparable to all the available C-coded SVM
packages in speed. Meanwhile, it inherits the memory-management mechanism
of LIBSVM, and is capable of dealing with practical classification problem
with huge training set.
(3) It is self-contained. That is, it does not request any extra
optimization software packages to support it.
(4) It implements not only the fundamental SVM classification algorithm,
but also two modified formulations, which are named n-SVM and one-class
SVM classifiers.
--
GzLi如是说:
Joy and pain are coming and going both
Be kind to yourself and others.
welcome to DataMining http://DataMining.bbs.lilybbs.net
welcome to Matlab http://bbs.sjtu.edu.cn/cgi-bin/bbsdoc?board=Matlab
※ 来源:.南京大学小百合站 bbs.nju.edu.cn.[FROM: 211.80.38.29]
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