文件名称:svm465
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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
压缩包 : 232351svm465.zip 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