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📄 9.txt

📁 This complete matlab for neural network
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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

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     Joy and pain are coming and going both
     Be kind to yourself and others.

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