文件名称:svm
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- 上传时间:2008-10-13
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文件大小:123.52kb
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已下载:0次
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能够很好的实现数据分类和拟合。是最新算法。
(系统自动生成,下载前可以参看下载内容)
下载文件列表
svm(推荐)/binomial.m
svm(推荐)/centrefig.m
svm(推荐)/cmap.mat
svm(推荐)/Contents.m
svm(推荐)/newsvm.zip
svm(推荐)/nobias.m
svm(推荐)/qp.dll
svm(推荐)/README
svm(推荐)/softmargin.m
svm(推荐)/svc.m
svm(推荐)/svcerror.m
svm(推荐)/svcinfo.m
svm(推荐)/svcoutput.m
svm(推荐)/svcplot.m
svm(推荐)/svdatanorm.m
svm(推荐)/svkernel.m
svm(推荐)/svr.m
svm(推荐)/svrerror.m
svm(推荐)/svroutput.m
svm(推荐)/svrplot.m
svm(推荐)/svtol.m
svm(推荐)/uiclass.m
svm(推荐)/uiclass.mat
svm(推荐)/uiregress.m
svm(推荐)/uiregress.mat
svm(推荐)/Optimiser/Makefile
svm(推荐)/Optimiser/pr_loqo.c
svm(推荐)/Optimiser/pr_loqo.h
svm(推荐)/Optimiser/qp.c
svm(推荐)/Optimiser/qp.dll
svm(推荐)/Optimiser
svm(推荐)/Examples/Regression/example.mat
svm(推荐)/Examples/Regression/sinc.mat
svm(推荐)/Examples/Regression/titanium.mat
svm(推荐)/Examples/Regression
svm(推荐)/Examples/Classification/iris1v23.mat
svm(推荐)/Examples/Classification/iris2v13.mat
svm(推荐)/Examples/Classification/iris3v12.mat
svm(推荐)/Examples/Classification/linsep.mat
svm(推荐)/Examples/Classification/nlinsep.mat
svm(推荐)/Examples/Classification
svm(推荐)/Examples
svm(推荐)
www.dssz.com.txt
svm(推荐)/centrefig.m
svm(推荐)/cmap.mat
svm(推荐)/Contents.m
svm(推荐)/newsvm.zip
svm(推荐)/nobias.m
svm(推荐)/qp.dll
svm(推荐)/README
svm(推荐)/softmargin.m
svm(推荐)/svc.m
svm(推荐)/svcerror.m
svm(推荐)/svcinfo.m
svm(推荐)/svcoutput.m
svm(推荐)/svcplot.m
svm(推荐)/svdatanorm.m
svm(推荐)/svkernel.m
svm(推荐)/svr.m
svm(推荐)/svrerror.m
svm(推荐)/svroutput.m
svm(推荐)/svrplot.m
svm(推荐)/svtol.m
svm(推荐)/uiclass.m
svm(推荐)/uiclass.mat
svm(推荐)/uiregress.m
svm(推荐)/uiregress.mat
svm(推荐)/Optimiser/Makefile
svm(推荐)/Optimiser/pr_loqo.c
svm(推荐)/Optimiser/pr_loqo.h
svm(推荐)/Optimiser/qp.c
svm(推荐)/Optimiser/qp.dll
svm(推荐)/Optimiser
svm(推荐)/Examples/Regression/example.mat
svm(推荐)/Examples/Regression/sinc.mat
svm(推荐)/Examples/Regression/titanium.mat
svm(推荐)/Examples/Regression
svm(推荐)/Examples/Classification/iris1v23.mat
svm(推荐)/Examples/Classification/iris2v13.mat
svm(推荐)/Examples/Classification/iris3v12.mat
svm(推荐)/Examples/Classification/linsep.mat
svm(推荐)/Examples/Classification/nlinsep.mat
svm(推荐)/Examples/Classification
svm(推荐)/Examples
svm(推荐)
www.dssz.com.txt
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