Application for svm in classification and regression

四种支持向量机用于函数拟合与模式识别的Matlab示例程序\Classification_LS_SVMlab.m
....................................................\Classification_OSU_SVM.m
....................................................\Classification_stprtool.m
....................................................\Classification_SVM_SteveGunn.m
....................................................\LS_SVMlab\AFE.m
....................................................\.........\bay_errorbar.m
....................................................\.........\bay_initlssvm.m
....................................................\.........\bay_lssvm.m
....................................................\.........\bay_lssvmARD.m
....................................................\.........\bay_modoutClass.m
....................................................\.........\bay_optimize.m
....................................................\.........\bay_rr.m
....................................................\.........\buffer.mc
....................................................\.........\changelssvm.m
....................................................\.........\code.asv
....................................................\.........\code.m
....................................................\.........\codedist_bay.m
....................................................\.........\codedist_hamming.m
....................................................\.........\codedist_loss.m
....................................................\.........\codelssvm.m
....................................................\.........\code_ECOC.m
....................................................\.........\code_MOC.m
....................................................\.........\code_OneVsAll.m
....................................................\.........\code_OneVsOne.m
....................................................\.........\Contents.m
....................................................\.........\crossvalidate.m
....................................................\.........\deltablssvm.m
....................................................\.........\democlass.m
....................................................\.........\demofun.m
....................................................\.........\demomodel.m
....................................................\.........\demo_fixedclass.m
....................................................\.........\demo_fixedsize.m
....................................................\.........\demo_yinyang.m
....................................................\.........\denoise_kpca.m
....................................................\.........\eign.m
....................................................\.........\gridsearch.m
....................................................\.........\initlssvm.m
....................................................\.........\kentropy.m
....................................................\.........\kernel_matrix.m
....................................................\.........\kpca.m
....................................................\.........\latentlssvm.m
....................................................\.........\leaveoneout.m
....................................................\.........\leaveoneout_lssvm.m
....................................................\.........\linesearch.m
....................................................\.........\linf.m
....................................................\.........\lin_kernel.m
....................................................\.........\LS-SVMlab Toolbox User's Guide.pdf
....................................................\.........\lssvm.dll
....................................................\.........\lssvm1024.dll
....................................................\.........\lssvm256.dll
....................................................\.........\lssvm64.dll
....................................................\.........\lssvmFILE.exe
....................................................\.........\lssvmFILE.m
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