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From: jair-ed@ptolemy.arc.nasa.gov
Subject: New Article, Statistical Feature Combination for ...
Message-ID: <1995Dec15.232718.8227@ptolemy-ethernet.arc.nasa.gov>
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Date: Fri, 15 Dec 1995 23:27:18 GMT
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JAIR is pleased to announce the publication of the following article:

Buro, M. (1995)
  "Statistical Feature Combination for the Evaluation of Game Positions", 
   Volume 3, pages 373-382.
   PostScript: volume3/buro95a.ps (178K)
	       compressed, volume3/buro95a.ps.Z (80K)


   Abstract: This article describes an application of three well-known
   statistical methods in the field of game-tree search: using a large
   number of classified Othello positions, feature weights for evaluation
   functions with a game-phase-independent meaning are estimated by means
   of logistic regression, Fisher's linear discriminant, and the
   quadratic discriminant function for normally distributed
   features. Thereafter, the playing strengths are compared by means of
   tournaments between the resulting versions of a world-class Othello
   program. In this application, logistic regression - which is used here
   for the first time in the context of game playing - leads to better
   results than the other approaches.

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