文件名称:svm
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- 上传时间:2013-03-16
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文件大小:194.28kb
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已下载:0次
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介绍说明--下载内容来自于网络,使用问题请自行百度
支持向量机分类器,可以用于手写分类,车牌字符分类等-Support vector machine classifier
(系统自动生成,下载前可以参看下载内容)
下载文件列表
svm/binomial.m
svm/centrefig.m
svm/cmap.mat
svm/Contents.m
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/Examples/Regression/example.mat
svm/Examples/Regression/sinc.mat
svm/Examples/Regression/titanium.mat
svm/newsvm/binomial.m
svm/newsvm/centrefig.m
svm/newsvm/cmap.mat
svm/newsvm/Contents.m
svm/newsvm/Examples/Classification/iris1v23.mat
svm/newsvm/Examples/Classification/iris2v13.mat
svm/newsvm/Examples/Classification/iris3v12.mat
svm/newsvm/Examples/Classification/linsep.mat
svm/newsvm/Examples/Classification/nlinsep.mat
svm/newsvm/Examples/Regression/example.mat
svm/newsvm/Examples/Regression/sinc.mat
svm/newsvm/Examples/Regression/titanium.mat
svm/newsvm/nobias.m
svm/newsvm/Optimiser/Makefile
svm/newsvm/Optimiser/pr_loqo.c
svm/newsvm/Optimiser/pr_loqo.h
svm/newsvm/Optimiser/qp.c
svm/newsvm/Optimiser/qp.dll
svm/newsvm/qp.dll
svm/newsvm/README
svm/newsvm/softmargin.m
svm/newsvm/svc.m
svm/newsvm/svcerror.m
svm/newsvm/svcinfo.m
svm/newsvm/svcoutput.m
svm/newsvm/svcplot.m
svm/newsvm/svdatanorm.m
svm/newsvm/svkernel.m
svm/newsvm/svr.m
svm/newsvm/svrerror.m
svm/newsvm/svroutput.m
svm/newsvm/svrplot.m
svm/newsvm/svtol.m
svm/newsvm/uiclass.m
svm/newsvm/uiclass.mat
svm/newsvm/uiregress.m
svm/newsvm/uiregress.mat
svm/newsvm.zip
svm/nobias.m
svm/Optimiser/Makefile
svm/Optimiser/pr_loqo.c
svm/Optimiser/pr_loqo.h
svm/Optimiser/qp.c
svm/Optimiser/qp.dll
svm/qp.dll
svm/README
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/newsvm/Examples/Classification
svm/newsvm/Examples/Regression
svm/Examples/Classification
svm/Examples/Regression
svm/newsvm/Examples
svm/newsvm/Optimiser
svm/Examples
svm/newsvm
svm/Optimiser
svm
svm/centrefig.m
svm/cmap.mat
svm/Contents.m
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/Examples/Regression/example.mat
svm/Examples/Regression/sinc.mat
svm/Examples/Regression/titanium.mat
svm/newsvm/binomial.m
svm/newsvm/centrefig.m
svm/newsvm/cmap.mat
svm/newsvm/Contents.m
svm/newsvm/Examples/Classification/iris1v23.mat
svm/newsvm/Examples/Classification/iris2v13.mat
svm/newsvm/Examples/Classification/iris3v12.mat
svm/newsvm/Examples/Classification/linsep.mat
svm/newsvm/Examples/Classification/nlinsep.mat
svm/newsvm/Examples/Regression/example.mat
svm/newsvm/Examples/Regression/sinc.mat
svm/newsvm/Examples/Regression/titanium.mat
svm/newsvm/nobias.m
svm/newsvm/Optimiser/Makefile
svm/newsvm/Optimiser/pr_loqo.c
svm/newsvm/Optimiser/pr_loqo.h
svm/newsvm/Optimiser/qp.c
svm/newsvm/Optimiser/qp.dll
svm/newsvm/qp.dll
svm/newsvm/README
svm/newsvm/softmargin.m
svm/newsvm/svc.m
svm/newsvm/svcerror.m
svm/newsvm/svcinfo.m
svm/newsvm/svcoutput.m
svm/newsvm/svcplot.m
svm/newsvm/svdatanorm.m
svm/newsvm/svkernel.m
svm/newsvm/svr.m
svm/newsvm/svrerror.m
svm/newsvm/svroutput.m
svm/newsvm/svrplot.m
svm/newsvm/svtol.m
svm/newsvm/uiclass.m
svm/newsvm/uiclass.mat
svm/newsvm/uiregress.m
svm/newsvm/uiregress.mat
svm/newsvm.zip
svm/nobias.m
svm/Optimiser/Makefile
svm/Optimiser/pr_loqo.c
svm/Optimiser/pr_loqo.h
svm/Optimiser/qp.c
svm/Optimiser/qp.dll
svm/qp.dll
svm/README
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/newsvm/Examples/Classification
svm/newsvm/Examples/Regression
svm/Examples/Classification
svm/Examples/Regression
svm/newsvm/Examples
svm/newsvm/Optimiser
svm/Examples
svm/newsvm
svm/Optimiser
svm
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