> E.g., they report that the top-ranked move from their neural net has a 10% > chance of matching a pro move on a 19x19 board.... > And if you use a large-scale pattern approach (e.g., Remi's work), then you > can predict over 40% and maybe up to 50% of pro moves.
This is a poor measure of strength though (which is why most go programmers concentrate on win-rates against Gnugo, or KGS ratings, etc.) Exhibit 1: I chose 3,4 in top-right corner for my first move; the pro chose 4,4. Mark it down as just as bad as choosing the 1,1 point. Exhibit 2: I chose the hane-tsugi sente sequence at A10. The pro first played the monkey jump sente sequence in the top-right then played A10. Mark my choice as just as bad as poking my own eye out. Darren _______________________________________________ Computer-go mailing list [email protected] http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
