文件名称:svm465
介绍说明--下载内容来自于网络,使用问题请自行百度
This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.-This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.
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下载文件列表
svm/
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/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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