7.txt

This complete matlab for neural network

发信人: GzLi (笑梨), 信区: DataMining
标  题: matlab svm toolbox <1>
发信站: 南京大学小百合站 (Tue Apr 23 20:43:27 2002), 站内信件

Anton 
http://www.cis.tugraz.at/igi/aschwaig/svm_v251.tar.gz

Advantages of this toolbox are: 

Handling of multi-class problems via error correcting output codes (ECOC). 
Written completely in Matlab, allowing for easy modification. Special kinds 
of kernels that require extensive computation (such as the Fisher kernel, 
which is based on a model of the data) can easily be incorporated. 
Unless many other SVM toolboxes, this one can handle 1norm SVMs and 2norm 
SVMs (linear or quadratic loss function) 
Uses decomposition methods and working set selection strategies like SVM 
light by Thorsten Joachims. The toolbox can thus handle problems of up to 
a few 10000 training points. 
Optimized computations for linear SVMs and sparse data. 
Can handle SVMs with different costs of misclassification (per class or per 
example). 

--
GzLi如是说：
     Joy and pain are coming and going both
     Be kind to yourself and others.

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※ 修改:．GzLi 於 Apr 23 21:39:27 修改本文．[FROM: 211.80.38.29]
※ 来源:．南京大学小百合站 bbs.nju.edu.cn．[FROM: 211.80.38.29]