SVM Poly Kernal Machine Training?

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AR
AR 2015-12-13
编辑： Walter Roberson 2015-12-13
Hello. Training Poly Kernel SVM. How do I know when machine trained? I was expecting to use a quadratic solver (quadprog, SMO?) but not sure how and where to insert? Any ideas? Prefer not to use fitcsvm or similar library svm function since I want to see how and where SVM employs quad functions (I will use quad solver though). Thx--AR
%%Poly Kernel Trainer, 2 & 5 Digits
x=[train2(:,1:64);train5(:,1:64)]; % 2,5 digit samples, 1 sample per row, 0s and 1s for attributes
[m,n] = size(x); %[302 64]
Y=[train2(:,65);train5(:,65)];% Labels for #2 & #5 digits, [302,1]
d=3;
alpha=0.0156;
beta=0;
xT=x'; % xT=x(j), x=x(i); used for inner product w/o going to higher dim.
K = (alpha * (x*xT)+ beta).^d; % Polynomial Machine, [302,302]
%%SV= 0.5( ∑i ∑j alpha(i)alpha(j)y(i)y(j)K(x(i),x(j))) - ∑i alpha(i)%%
%%where ∑i alpha(i)=0 and 0<=alpha(i)<C
%%did not employ this equation yet, where??, how?? %%

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