文件名称:svm_new
介绍说明--下载内容来自于网络,使用问题请自行百度
MATLAB的SVM算法实现,Matlab Support Vector Machine Toolbox,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.
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.
(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/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/hs_err_pid2808.log
svm/knn.asv
svm/knn.m
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
www.dssz.com.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/hs_err_pid2808.log
svm/knn.asv
svm/knn.m
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
www.dssz.com.txt
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