Description: the data classification and regression analysis based on SVM, by using different kinds of kernel functions, for examples, RBF,sigmoid and ploynomial and so on
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基于SVM数据分类及回归分析，并采用不同的核函数\svr.m
.............................................\svrerror.m
.............................................\svroutput.m
.............................................\svrplot.m
.............................................\svtol.m
.............................................\uiclass.m
.............................................\uiclass.mat
.............................................\uiregress.m
.............................................\Examples\Classification\iris1v23.mat
.............................................\........\..............\iris2v13.mat
.............................................\........\..............\iris3v12.mat
.............................................\........\..............\linsep.mat
.............................................\........\..............\nlinsep.mat
.............................................\........\Regression\example.mat
.............................................\........\..........\sinc.mat
.............................................\........\..........\titanium.mat
.............................................\Optimiser\Makefile
.............................................\.........\pr_loqo.c
.............................................\.........\pr_loqo.h
.............................................\.........\qp.c
.............................................\.........\qp.dll
.............................................\binomial.m
.............................................\centrefig.m
.............................................\cmap.mat
.............................................\Contents.m
.............................................\nobias.m
.............................................\qp.dll
.............................................\README.txt
.............................................\softmargin.m
.............................................\svc.m
.............................................\svcerror.m
.............................................\svcinfo.m
.............................................\svcoutput.m
.............................................\svcplot.m
.............................................\svdatanorm.m
.............................................\svkernel.m
.............................................\Examples\Classification
.............................................\........\Regression
.............................................\Examples
.............................................\Optimiser
基于SVM数据分类及回归分析，并采用不同的核函数
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