Use individual kernel functions in Matlab's SVMtrain

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Léon
Léon 2011-10-6
I got two questions concerning the use of the SVM function built into Matlab (2011a)
My ‚Training’ matrix consists of more than two columns, thus I’m dealing with a multidimensional problem. Can the quadprog (‚QP’) algorithm (Matlab Optimization toolbox is installed) deal with that?
And my second question concerns the use of individual kernel functions. I don’t get it to work, can you please help me to correct the code?
I use the following code to create a linear kernel for testing purpose (I know that it is already the standard, but this may be a good starting point):
SVMStruct = svmtrain(Training,Group,'autoscale',true,'method','QP','kernel_function',@kfun);
function K = kfun(U, V)
K = u*v;

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回答（2 个）

Léon
Léon 2011-10-7
May somebody please help me? Thank you very much!
Walter Roberson
Walter Roberson 2011-10-7
SVM in current versions of MATLAB is strictly limited to two class problems.

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