[gnugo-devel] machine learning in gnugo

[Thomas Nelson]

Hi, my name's Tom, and I'm a computer science undergraduate at UT Austin. 
I'm doing a research project on machine learning in go.  My plan is to 
choose ~10 patterns in the gnugo patterns database, and optimize the 
shape() values for the patterns using a kind of gradient descent learning. 
My question is, which patterns should I choose?  Ideally, I want to choose 
the 10 that will have the biggest effect on gnugo's performance.  They 
should be used pretty often, and preferably early in the game.  My current 
plan was just to play a lot of games, and use
gnugo -l [filename] -L [move number] -t -a -w
on each move to see which patterns get selected most often.  But maybe 
someone knows a particular group or type of pattern that needs more 
attention, or a more efficient way to search for important patterns?

Thanks for your time.

Tom