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svc

PURPOSE ^

SVC Support Vector Classification

SYNOPSIS ^

function [nsv, alpha, b0] = svc(X,Y,ker,C,solver)

DESCRIPTION ^

  SVC Support Vector Classification

  Usage: [nsv alpha bias] = svc(X,Y,ker,C)

  Parameters: X      - Training inputs
              Y      - Training targets
              ker    - kernel function
              C      - upper bound (non-separable case)
              nsv    - number of support vectors
              alpha  - Lagrange Multipliers
              b0     - bias term

  Author: Steve Gunn (srg@ecs.soton.ac.uk), modified by Giancarlo
  Ferrari-Trecate for using the solver for QPs in MPT

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:
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