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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