📄 9.txt
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发信人: GzLi (笑梨), 信区: DataMining
标 题: matlab svm toolbox <3>
发信站: 南京大学小百合站 (Tue Apr 23 20:50:59 2002), 站内信件
http://theoval.sys.uea.ac.uk/~gcc/svm/toolbox/svm_v0.54beta.tar.gz
Dr Gavin Cawley
School of Information Systems,
University of East Anglia
Key features of this toolbox:
<1>C++ MEX implementation of the SMO training algorithm, with caching of kernel
evaluations for efficiency.
<2>Support for multi-class support vector classification using max wins, pair
wise
[4] and DAG-SVM [5] algorithms.
<3>A model selection criterion (the xi-alpha bound [6,7] on the leave-one-out
cross-validation error).
<4>Object oriented design, currently this just means that you can supply bespoke
kernel functions for particular applications, but will in future releases
also support a range of training algorithms, model selection criteria etc
--
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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