MATLAB-SVM algorithm, Matlab Support Vector Machine Toolbox, This toolbox was designed as a teaching aid, which matlab isparticularly good for since source code is relatively legible andsimple to modify. However, it is still reasonably fast if usedwith the supplied optimiser. However , if you really want to speedthings up you should consider compiling the matrix compositionroutine for H into a mex function. Then again if you really wantto speed things up you probably shouldn t be using matlabanyway ... Get hold of a dedicated C program once you understandthe algorithm.

svm
...\binomial.m
...\centrefig.m
...\cmap.mat
...\Contents.m
...\Examples
...\........\Classification
...\........\..............\iris1v23.mat
...\........\..............\iris2v13.mat
...\........\..............\iris3v12.mat
...\........\..............\linsep.mat
...\........\..............\nlinsep.mat
...\........\Regression
...\........\..........\example.mat
...\........\..........\sinc.mat
...\........\..........\titanium.mat
...\hs_err_pid2808.log
...\knn.asv
...\knn.m
...\newsvm.zip
...\nobias.m
...\Optimiser
...\.........\Makefile
...\.........\pr_loqo.c
...\.........\pr_loqo.h
...\.........\qp.c
...\.........\qp.dll
...\qp.dll
...\README
...\softmargin.m
...\svc.m
...\svcerror.m
...\svcinfo.m
...\svcoutput.m
...\svcplot.m
...\svdatanorm.m
...\svkernel.m
...\svr.m
...\svrerror.m
...\svroutput.m
...\svrplot.m
...\svtol.m
...\uiclass.m
...\uiclass.mat
...\uiregress.m
...\uiregress.mat

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