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CIG
2005
IEEE

Bayesian Generation and Integration of K-nearest-neighbor Patterns for 19x19 Go

14 years 5 months ago
Bayesian Generation and Integration of K-nearest-neighbor Patterns for 19x19 Go
Abstract- This paper describes the generation and utilisation of a pattern database for 19x19 go with the Knearest-neighbor representation. Patterns are generated by browsing recorded games of professional players. Meanwhile, their matching and playing probabilities are estimated. The database created is then integrated into an existing go program, INDIGO, either as an opening book or as an enrichment of other pre-existing hand-crafted databases used by INDIGO move generator. The improvement brought about by the use of this pattern database is estimated at 15 points on average, which is significant on go standards.
Bruno Bouzy, Guillaume Chaslot
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where CIG
Authors Bruno Bouzy, Guillaume Chaslot
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