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% Support Vector Machine Toolbox
% Version 2.0-Aug-1998
%
% Support Vector Classification
%
% svc - Calculate support vectors for classification
% svcplot - Plot 2 dimensional classification problem
% svcoutput - Calculate output from input data
% svcerror - Calculate error from input and output data
% uiclass - graphical user interface for classification
%
% Support Vector Regression
%
% svr - Calculate support vectors for regression
% svrplot - Plot 1 dimensional regression problem
% svroutput - Calculate output from input data
% svrerror - Calculate error from input and output data
% uiregress - graphical user interface for regression
%
% Kernel function
%
% svkernel - kernel function
% nobias - determine if kernel has no implicit bias
% svdatanorm - Normalise data to appropriate interval for kernel
%
% __________________________________________________________________
%
% Steve Gunn (S.R.Gunn@ecs.soton.ac.uk)
% Image Speech and Intelligent Systems Group
% University of Southampton
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