文件名称:libsvm-mat-2.89-3[Mcode]

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2014-03-23
  • 文件大小:
  • 419kb
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  • 0次
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LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包。-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.
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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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