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Hi, there,
Is here some one experienced alternative move problems in learning
algorithm? Say as if I have a Go classification machine which is taught to
identify board configurations with expected moves. One sample said with board
configuration A should move to position a, and another said board A, move b.
While a neuronetwork is trying to learn this kind of response, (A,a) will tend
to cancel (A,b) and (A,b) will cancel (A,a). Here all the samples are
distinctive, so no probability mechanism can be applied.
Weimin Xiao |