Matthias Lüscher,
a Swiss computer scientist and senior technology engineer. He holds a diplom degree in computerized sciences [1] from ETH Zurich, and is author of the chess engine Chessterfield. Inspired by Michael Buro'sCG 1998 paper From Simple Features to Sophisticated Evaluation Functions[2], covering not only automated parameter tuning but a procedure for exploring the feature space able to discover new features in a computational feasible way, Matthias Lüscher implemented Buro's General Linear Evaluation Model GLEM inside the experimental chess program ChessterfieldCL, using a three-layer neural network as evaluation function, as documented in his technical report under supervision of Thomas Lincke and Christoph Wirth[3].
Table of Contents
Matthias Lüscher,
a Swiss computer scientist and senior technology engineer. He holds a diplom degree in computerized sciences [1] from ETH Zurich, and is author of the chess engine Chessterfield. Inspired by Michael Buro's CG 1998 paper From Simple Features to Sophisticated Evaluation Functions [2], covering not only automated parameter tuning but a procedure for exploring the feature space able to discover new features in a computational feasible way, Matthias Lüscher implemented Buro's General Linear Evaluation Model GLEM inside the experimental chess program ChessterfieldCL, using a three-layer neural network as evaluation function, as documented in his technical report under supervision of Thomas Lincke and Christoph Wirth [3].
Publications
Forum Posts
External Links
References
What links here?
Up one Level