Today I read a paper titled “Statistical Feature Combination for the Evaluation of Game Positions”

The abstract is:

* 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.*