文件名称:svm
介绍说明--下载内容来自于网络,使用问题请自行百度
于多类模式分类,使用svm工具箱:LS_SVMlab
使用平台:Matlab6.5
-Multi-class pattern classification, using svm toolbox: LS_SVMlab using the platform: Matlab6.5
使用平台:Matlab6.5
-Multi-class pattern classification, using svm toolbox: LS_SVMlab using the platform: Matlab6.5
(系统自动生成,下载前可以参看下载内容)
下载文件列表
svm/svm.doc
svm/
新建文本文档.txt
svm/binomial.m
svm/centrefig.m
svm/cmap.mat
svm/Contents.m
svm/Examples/
svm/Examples/Classification/
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/
svm/Examples/Regression/example.mat
svm/Examples/Regression/sinc.mat
svm/Examples/Regression/titanium.mat
svm/newsvm.zip
svm/nobias.m
svm/Optimiser/
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/
新建文本文档.txt
svm/binomial.m
svm/centrefig.m
svm/cmap.mat
svm/Contents.m
svm/Examples/
svm/Examples/Classification/
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/
svm/Examples/Regression/example.mat
svm/Examples/Regression/sinc.mat
svm/Examples/Regression/titanium.mat
svm/newsvm.zip
svm/nobias.m
svm/Optimiser/
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
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