Support Vector Machine.
Support Vector Machine.The Q matrix of QCMachine is in this case
, where
is a kernel and
is the i-th example of data/
The goal is to looking for the alpha and b which are the best in a SVM-sense.
The learning function is
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Options:
"C" real trade off between the weight decay and the error [100]
Alphabetic index HTML hierarchy of classes or Java