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-   -   Question 13 - RBF with hard mrgin unable to accurately classifiy (http://book.caltech.edu/bookforum/showthread.php?t=1524)

MLearning 09-14-2012 10:23 AM

Question 13 - RBF with hard mrgin unable to accurately classifiy
I am having difficulty getting SVM with RBF to accurately classify a linearly separable data. I included herein a piece of my code.

N = 100; gamma = 1.5;

X = 2*rand(2,N)-1; %Training data
fx=sign(X(2,:)-X(1,:) + 0.25*sin(pi*X(1,:)));

%Generate Kx(xn,xm)
for n=1:N
for m=1:N

Q=(fx*fx').*Kx; %Q Matrix
... %other input parameters are similarly defined

alpha0=zeros(N,1)% This initialization has no effect

alphan = quadprog(Q,q,[],[],Aeq,beq,lb,ub,alpha0,optimset('maxiter',10000,'la rgescale','off'));


The problem is that all values of alphan are very small (e.g., max(alphan) = 0.0072 in one of the runs). Due to this, gx is either always equal to 1 -1.

Can anyone point out where the error lies in the above piece of code? I really appreciate it.

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