LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Linzhiren (Lin Chih-Jen) and associate development and design.

libsvm-mat-2.89-3[FarutoUltimate3.0Mcode]
.........................................\COPYRIGHT
.........................................\heart_scale.mat
.........................................\implement[by faruto]
.........................................\....................\a_template_flow_usingSVM_class.m
.........................................\....................\a_template_flow_usingSVM_regress.m
.........................................\....................\fasticaForSVM.m
.........................................\....................\gaSVMcgForClass.m
.........................................\....................\gaSVMcgForRegress.m
.........................................\....................\gaSVMcgpForRegress.m
.........................................\....................\pcaForSVM.m
.........................................\....................\pcode
.........................................\....................\psoSVMcgForClass.m
.........................................\....................\psoSVMcgForRegress.m
.........................................\....................\readme[by faruto].txt
.........................................\....................\scaleForSVM.m
.........................................\....................\SVC.m
.........................................\....................\SVC_test.m
.........................................\....................\SVMcgForClass.m
.........................................\....................\SVMcgForRegress.m
.........................................\....................\svmplot.m
.........................................\....................\SVR.m
.........................................\....................\SVR_test.m
.........................................\....................\test_for_ica_SVM.m
.........................................\....................\TutorialForFarutoUltimate3.0.pdf
.........................................\....................\TutorialTest.m
.........................................\....................\VF.m
.........................................\....................\will lost in 2012b
.........................................\....................\..................\boiler_process.m
.........................................\libsvm 参数说明.txt
.........................................\libsvmread.c
.........................................\libsvmread.mexw32
.........................................\libsvmread.mexw64
.........................................\libsvmwrite.c
.........................................\libsvmwrite.mexw32
.........................................\libsvmwrite.mexw64
.........................................\make.m
.........................................\Makefile
.........................................\README
.........................................\readme[by faruto].txt
.........................................\svm.cpp
.........................................\svm.h
.........................................\svm.obj
.........................................\svmpredict.c
.........................................\svmpredict.mexw32
.........................................\svmpredict.mexw64
.........................................\svmtrain.c
.........................................\svmtrain.mexw32
.........................................\svmtrain.mexw64
.........................................\svm_model_matlab.c
.........................................\svm_model_matlab.h
.........................................\svm_model_matlab.obj
.........................................\test_data
.........................................\.........\wine_test.mat
.........................................\.........\x123.mat
.........................................\win7 x64make文件
.........................................\................\make.m

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