Welcome Aldric, Not a frequent poster myself, here are two resources that you may find useful.
1) an extensive library of articles related to computer-go is collected on http://www.citeulike.org/group/5884/library This list provides a wealth of articles tracing back many years and used to be very current. More recently, not everybody is sending links of their papers, which is a pity as they are sometimes hard to find elsewhere. For Machine Learning papers in particular, Markus Enzenberger's Neurogo papers are highly recommended and a good starting point. But there are others as well, including several Ph.D. theses. Those are nice because they are (always) much longer than papers, (sometimes) more instructive, and contain long reference lists. 2) Erik van der Werf did excellent work for his thesis on Machine Learning algorithms for particular functions. His website is http://erikvanderwerf.tengen.nl/ and contains links to his papers. Good luck, René 2009/10/29 Aldric Giacomoni <ald...@trevoke.net> > Hi everyone, > > I've been following the list for about a week and a half, and thought I > ought to introduce myself. I don't know if this much activity is normal on > the list, but I'm glad to see there is so much to read :) > > > > My name is Aldric - just in case you hadn't guessed. I am 27 years old, and > I live on the east coast of the US. I can be found online ( > godiscussions.com, KGS, Twitter, and many other non-go-related places) as > Trevoke. I've been playing go since 2006, and have reached the rank of 6k > on KGS so far. I graduated college in 2004 with a major in Computer Science > and Mathematics. I've been studying isshinryu karate since 2004 and am > preparing for my 2d test. > > I've always had an interest in "Artificial Intelligence" (I found recently > some files on my machine dealing with machine learning and dating back to > 2002), but never pushed it. I figured, oh, it's too complex, I'll study that > someday. For various reasons, I've decided to do some graduate studies (a > Doctorate) "in AI". You should now be able to take a good guess at why I > joined this list. > > I currently have zero knowledge of artificial intelligence, besides the few > papers about MTCS, and the paper around Crazy Stone and such, by Remy > Coulom, that I read in the past few days, following Olivier's message to > this list. I'm waiting for a first order of books from Amazon.com to get my > feet wet.. I know one thing, which I am also aware is still vague: "I want > to help solve go". I realize this may involve some pattern recognition, > knowledge representation, and a few more topics.. But I know this is where I > want to go with it. > > Are there any resources which you could recommend to someone who would like > to learn? Any pitfalls you can recommend I avoid (or stumble into) ? As a > warning, I am an avid reader and a rather obstinate individual when I have > decided to study/learn something. > > Oh, and finally, besides Olivier's suggestion to apply for a Doctorate with > his team, do you know of anybody in the world who may consider taking > someone like me (fluent in French, English, Italian, no ties, can travel, > etc etc) in their team, to do that kind of work ? And.. If so, the > repetition of the earlier question: what do you think I need to know before > I can study with them? > > > > Thanks in advance :-) > > > > --Aldric > > _______________________________________________ > computer-go mailing list > computer-go@computer-go.org > http://www.computer-go.org/mailman/listinfo/computer-go/ >
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