文件名称:svm
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- 上传时间:2014-04-23
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文件大小:142.79kb
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实现svm分类,两个代码svm和newsvm,包含源码和txt说明,还附有svm工具箱的安装使用的详细解读及源码应用examples。-Achieve svm classification, two code svm and newsvm, including source code and txt descr iption, but also with svm toolbox installation of detailed interpretation and application source code examples.
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下载文件列表
svm/binomial.m
svm/centrefig.m
svm/cmap.mat
svm/Contents.m
svm/newsvm.zip
svm/nobias.m
svm/qp.dll
svm/README.TXT
svm/softmargin.m
svm/svc.m
svm/svcerror.m
svm/svcinfo.m
svm/svcoutput.m
svm/svcplot.m
svm/svdatanorm.m
svm/svkernel.m
svm/svr.m
svm/svrerror.m
svm/svroutput.m
svm/svrplot.m
svm/svtol.m
svm/uiclass.m
svm/uiclass.mat
svm/uiregress.m
svm/uiregress.mat
svm/SVM工具箱使用方法.doc
svm/Examples/Regression/example.mat
svm/Examples/Regression/sinc.mat
svm/Examples/Regression/titanium.mat
svm/Examples/Classification/iris1v23.mat
svm/Examples/Classification/iris2v13.mat
svm/Examples/Classification/iris3v12.mat
svm/Examples/Classification/linsep.mat
svm/Examples/Classification/nlinsep.mat
svm/Optimiser/Makefile
svm/Optimiser/pr_loqo.c
svm/Optimiser/pr_loqo.h
svm/Optimiser/qp.c
svm/Optimiser/qp.dll
svm/Examples/Regression
svm/Examples/Classification
svm/Examples
svm/Optimiser
svm
svm/centrefig.m
svm/cmap.mat
svm/Contents.m
svm/newsvm.zip
svm/nobias.m
svm/qp.dll
svm/README.TXT
svm/softmargin.m
svm/svc.m
svm/svcerror.m
svm/svcinfo.m
svm/svcoutput.m
svm/svcplot.m
svm/svdatanorm.m
svm/svkernel.m
svm/svr.m
svm/svrerror.m
svm/svroutput.m
svm/svrplot.m
svm/svtol.m
svm/uiclass.m
svm/uiclass.mat
svm/uiregress.m
svm/uiregress.mat
svm/SVM工具箱使用方法.doc
svm/Examples/Regression/example.mat
svm/Examples/Regression/sinc.mat
svm/Examples/Regression/titanium.mat
svm/Examples/Classification/iris1v23.mat
svm/Examples/Classification/iris2v13.mat
svm/Examples/Classification/iris3v12.mat
svm/Examples/Classification/linsep.mat
svm/Examples/Classification/nlinsep.mat
svm/Optimiser/Makefile
svm/Optimiser/pr_loqo.c
svm/Optimiser/pr_loqo.h
svm/Optimiser/qp.c
svm/Optimiser/qp.dll
svm/Examples/Regression
svm/Examples/Classification
svm/Examples
svm/Optimiser
svm
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