% 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