svm (support vector machine) toolbox for svm prediction, pattern recognition, fault diagnosis.

libsvm-mat-2.89\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
...............\make.m
...............\Makefile
...............\README
...............\readme[by faruto].txt
...............\svm.cpp
...............\svm.h
...............\svm.obj
...............\svmpredict.c
...............\svmpredict.mexw32
...............\svmtrain.c
...............\svmtrain.mexw32
...............\svm_model

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．