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[dreamchaser0402]

Hi, bhsaurabh. When I run your codes,I don't understand the size of svm_array.X. The result shows the size of X is [ 0*154]. Could you help me understand it?Thank you very much.
I am looking forward to your reply.

svm_array(1)

ans =

             X: [0x154 double]
             y: [0x1 double]
kernelFunction: @(x1,x2)gaussianKernel(x1,x2,sigma_svm)
             b: 0
        alphas: [0x1 double]
             w: [154x1 double]

[liufx13]

Hey, bhsaurabh. When I review yoyr multiclassSVM code, I noticed that you always comments as '% Calculate Ej = f(x(j)) - y(j) using (2). in file 'svmTrain.m'. Do you mean this is refer to other research papers? Where can I find this refenrence paper ?

`% Calculate Ej = f(x(j)) - y(j) using (2).
E(j) = b + sum (alphas.*Y.*K(:,j)) - Y(j);

        % Save old alphas
        alpha_i_old = alphas(i);
        alpha_j_old = alphas(j);
        
        % Compute L and H by (10) or (11). 
        if (Y(i) == Y(j)),
            L = max(0, alphas(j) + alphas(i) - C);
            H = min(C, alphas(j) + alphas(i));
        else
            L = max(0, alphas(j) - alphas(i));
            H = min(C, C + alphas(j) - alphas(i));
        end`