Description: Support vector machine(SVM)is a new approach that can solve machine learning
problem with optimization methods. In recent years,there has been a surge of interest in
SVM.It has achieved a prodigious progress in the theory research and algorithm
implement, thus has been an active research area in machine learning
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File list (Check if you may need any files):
libsvm\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
......\....................\myprivate\gatbx[Sheffield]\bs2rv.m
......\....................\.........\................\contents.m
......\....................\.........\................\crtbase.m
......\....................\.........\................\crtbp.m
......\....................\.........\................\crtrp.m
......\....................\.........\................\migrate.m
......\....................\.........\................\mpga.m
......\....................\.........\................\mut.m
......\....................\.........\................\mutate.m
......\....................\.........\................\mutbga.m
......\....................\.........\................\ranking.m
......\....................\.........\................\recdis.m
......\....................\.........\................\recint.m
......\....................\.........\................\reclin.m
......\....................\.........\................\recmut.m
......\....................\.........\................\recombin.m
......\....................\.........\................\reins.m
......\....................\.........\................\rep.m
......\....................\.........\................\resplot.m
......\....................\.........\................\rws.m
......\....................\.........\................\scaling.m
......\....................\.........\................\select.m
......\....................\.........\................\sus.m
......\....................\.........\................\xovdp.m
......\....................\.........\................\xovdprs.m
......\....................\.........\................\xovmp.m
......\....................\.........\................\xovsh.m
......\....................\.........\................\xovshrs.m
......\....................\.........\................\xovsp.m
......\....................\.........\................\xovsprs.m
......\....................\.........\mapminmax.m
......\....................\.........\plotroc.m
......\....................\.........\roc.m
......\....................\pcaForSVM.m
......\....................\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
......\libsvm 参数说明.txt
......\libsvmread.c
......\libsvmread.mexw32
......\libsvmwrite.c
......\libsvmwrite.mexw32
......\LibSVM程序代码注释.pdf
......\make.m
......\Makefile
......\README
......\readme[by faruto].txt
......\svm.cpp
......\svm.h
......\svm.obj
......\svmpredict.c
......\svmpredict.mexw32
......\svmtrain.c
......\svmtrain.mexw32
......\svm_model_matlab.c
......\svm_model_matlab.h
......\svm_model_matlab.obj
......\test_data\wine_test.mat
......\.........\x123.mat
......\TutorialForFarutoUltimate3.0.pdf
......\implement[by faruto]\myprivate\gatbx[Sheffield]
......\....................\myprivate
......\....................\pcode
......\implement[by faruto]
......\test_data
libsvm
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