VC 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

-VC 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