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.




File list:
SuportVectorMachine_Library
..........................\svm
..........................\...\Examples
..........................\...\........\Classification
..........................\...\........\..............\iris1v23.mat
..........................\...\........\..............\iris2v13.mat
..........................\...\........\..............\iris3v12.mat
..........................\...\........\..............\linsep.mat
..........................\...\........\..............\nlinsep.mat
..........................\...\........\Regression
..........................\...\........\..........\example.mat
..........................\...\........\..........\sinc.mat
..........................\...\........\..........\titanium.mat
..........................\...\Optimiser
..........................\...\.........\Makefile
..........................\...\.........\pr_loqo.c
..........................\...\.........\pr_loqo.h
..........................\...\.........\qp.c
..........................\...\.........\qp.dll
..........................\...\binomial.m
..........................\...\centrefig.m
..........................\...\cmap.mat
..........................\...\Contents.m
..........................\...\newsvm.zip
..........................\...\nobias.m
..........................\...\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