An overall drift in the numbers might be nothing. Some pattern (sub)sets can be multiplied by a constant value without affecting overall prediction accuracy. Fixing one or more gamma values may fix your drift issue. I think Remí's paper forced the average gamma to be 1 after each iteration.

If I fixed the average gamma, wouldn't that make the other features drift *upwards*? I know it isn't a problem in general, but if the number range is too big I might get precision issues.

Do you suggest I fix the value of a single 3x3 pattern? Would that stabilize the 3x3 pattern values or would it also affect the other values (extend, kill, etc.)?_______________________________________________
computer-go mailing list
computer-go@computer-go.org
http://www.computer-go.org/mailman/listinfo/computer-go/

Reply via email to