I've tried looking at that 7 page paper, but it seems to be light on detail. Maybe what's given in the paper is enough to reproduce the results, but I'd need to learn the basics of SVM's to know for sure.
PS: wikipedia recommends http://research.microsoft.com/~cburges/papers/SVMTutorial.pdf to learn about SVM's On 10/15/07, terry mcintyre <[EMAIL PROTECTED]> wrote: > > http://stat.cs.tu-berlin.de/~ralfh/go.ps.gz<http://stat.cs.tu-berlin.de/%7Eralfh/go.ps.gz> > > Thore Graepel, Mike Goutrie, Marco Krüger, and Ralf Herbrich used an SVM > to predict moves from pro games; it was particularly successful for > predicting opening moves, as I recall. > > Terry McIntyre <[EMAIL PROTECTED]> > They mean to govern well; but they mean to govern. They promise to be kind > masters; but they mean to be masters. -- Daniel Webster > > ----- Original Message ---- > From: Erik S. Steinmetz <[EMAIL PROTECTED]> > To: computer-go <[email protected]> > Sent: Monday, October 15, 2007 11:53:25 AM > Subject: [computer-go] Opening game strategies > > Greetings all, > > I have been looking through the literature (many thanks to Markus's > wonderful online bibliography) on existing strategies in the opening > game, and have not found too many articles on the specifics outside > of a few papers on neural net learning applied to the opening. There > are some vague references to 'pattern matching' to generate moves, > but no information about how those patterns and moves were created. > > I am wondering if anyone knows of any attempts made to run pattern > recognition (for example, clustering) algorithms over a library of > games in order to learn reasonable opening moves. If so, and there > are any papers about the success (or failures) of such an effort, I > would really appreciate a pointer! > > Many thanks in advance for any info, > > All the best, > > Erik Steinmetz > [EMAIL PROTECTED] > [EMAIL PROTECTED] > > > _______________________________________________ > computer-go mailing list > [email protected] > http://www.computer-go.org/mailman/listinfo/computer-go/ > > > ------------------------------ > Yahoo! oneSearch: Finally, mobile search that gives > answers<http://us.rd.yahoo.com/evt=48252/*http://mobile.yahoo.com/mobileweb/onesearch?refer=1ONXIC>, > not web links. > > _______________________________________________ > computer-go mailing list > [email protected] > http://www.computer-go.org/mailman/listinfo/computer-go/ >
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