文件名称:svm-by-Steve-Gunn
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.
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.
相关搜索: Steve Gumn SVM
(系统自动生成,下载前可以参看下载内容)
下载文件列表
svm by Steve Gunn/binomial.m
svm by Steve Gunn/centrefig.m
svm by Steve Gunn/cmap.mat
svm by Steve Gunn/Contents.m
svm by Steve Gunn/Examples/Classification/iris1v23.mat
svm by Steve Gunn/Examples/Classification/iris2v13.mat
svm by Steve Gunn/Examples/Classification/iris3v12.mat
svm by Steve Gunn/Examples/Classification/linsep.mat
svm by Steve Gunn/Examples/Classification/nlinsep.mat
svm by Steve Gunn/Examples/Classification
svm by Steve Gunn/Examples/Regression/example.mat
svm by Steve Gunn/Examples/Regression/sinc.mat
svm by Steve Gunn/Examples/Regression/titanium.mat
svm by Steve Gunn/Examples/Regression
svm by Steve Gunn/Examples
svm by Steve Gunn/newsvm.zip
svm by Steve Gunn/nobias.m
svm by Steve Gunn/Optimiser/Makefile
svm by Steve Gunn/Optimiser/pr_loqo.c
svm by Steve Gunn/Optimiser/pr_loqo.h
svm by Steve Gunn/Optimiser/qp.c
svm by Steve Gunn/Optimiser/qp.dll
svm by Steve Gunn/Optimiser
svm by Steve Gunn/qp.dll
svm by Steve Gunn/README
svm by Steve Gunn/softmargin.m
svm by Steve Gunn/svc.m
svm by Steve Gunn/svcerror.m
svm by Steve Gunn/svcinfo.m
svm by Steve Gunn/svcoutput.m
svm by Steve Gunn/svcplot.m
svm by Steve Gunn/svdatanorm.m
svm by Steve Gunn/svkernel.m
svm by Steve Gunn/svr.m
svm by Steve Gunn/svrerror.m
svm by Steve Gunn/svroutput.m
svm by Steve Gunn/svrplot.m
svm by Steve Gunn/svtol.m
svm by Steve Gunn/uiclass.m
svm by Steve Gunn/uiclass.mat
svm by Steve Gunn/uiregress.m
svm by Steve Gunn/uiregress.mat
svm by Steve Gunn
svm by Steve Gunn/centrefig.m
svm by Steve Gunn/cmap.mat
svm by Steve Gunn/Contents.m
svm by Steve Gunn/Examples/Classification/iris1v23.mat
svm by Steve Gunn/Examples/Classification/iris2v13.mat
svm by Steve Gunn/Examples/Classification/iris3v12.mat
svm by Steve Gunn/Examples/Classification/linsep.mat
svm by Steve Gunn/Examples/Classification/nlinsep.mat
svm by Steve Gunn/Examples/Classification
svm by Steve Gunn/Examples/Regression/example.mat
svm by Steve Gunn/Examples/Regression/sinc.mat
svm by Steve Gunn/Examples/Regression/titanium.mat
svm by Steve Gunn/Examples/Regression
svm by Steve Gunn/Examples
svm by Steve Gunn/newsvm.zip
svm by Steve Gunn/nobias.m
svm by Steve Gunn/Optimiser/Makefile
svm by Steve Gunn/Optimiser/pr_loqo.c
svm by Steve Gunn/Optimiser/pr_loqo.h
svm by Steve Gunn/Optimiser/qp.c
svm by Steve Gunn/Optimiser/qp.dll
svm by Steve Gunn/Optimiser
svm by Steve Gunn/qp.dll
svm by Steve Gunn/README
svm by Steve Gunn/softmargin.m
svm by Steve Gunn/svc.m
svm by Steve Gunn/svcerror.m
svm by Steve Gunn/svcinfo.m
svm by Steve Gunn/svcoutput.m
svm by Steve Gunn/svcplot.m
svm by Steve Gunn/svdatanorm.m
svm by Steve Gunn/svkernel.m
svm by Steve Gunn/svr.m
svm by Steve Gunn/svrerror.m
svm by Steve Gunn/svroutput.m
svm by Steve Gunn/svrplot.m
svm by Steve Gunn/svtol.m
svm by Steve Gunn/uiclass.m
svm by Steve Gunn/uiclass.mat
svm by Steve Gunn/uiregress.m
svm by Steve Gunn/uiregress.mat
svm by Steve Gunn
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