Description: The support vector machine fitting, a fitting method can be used as a surrogate model in a multidisciplinary collaborative optimization
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svm\binomial.m
...\centrefig.m
...\cmap.mat
...\Contents.m
...\Examples\Classification\iris1v23.mat
...\........\..............\iris2v13.mat
...\........\..............\iris3v12.mat
...\........\..............\linsep.mat
...\........\..............\nlinsep.mat
...\........\Regression\example.mat
...\........\..........\sinc.mat
...\........\..........\titanium.mat
...\newsvm.zip
...\nobias.m
...\Optimiser\Makefile
...\.........\pr_loqo.c
...\.........\pr_loqo.h
...\.........\qp.c
...\.........\qp.dll
...\qp.dll
...\README
...\softmargin.m
...\svc.m
...\svcerror.m
...\svcinfo.m
...\svcoutput.m
...\svcplot.m
...\svdatanorm.m
...\svkernel.m
...\svr.m
...\svrerror.m
...\svroutput.m
...\svrplot.m
...\svtol.m
...\uiclass.m
...\uiclass.mat
...\uiregress.m
...\uiregress.mat
...\iris1v23.mat
...\iris2v13.mat
...\iris3v12.mat
...\linsep.mat
...\nlinsep.mat
...\xunlianlizi.m
...\xunlianlizi.asv
...\xunlianlizi1.m
...\xunlianlizi1.asv
...\tuxiangshibie.m
...\Examples\Classification
...\........\Regression
...\Examples
...\Optimiser
svm
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