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@inproceedings{351333, author = {Kubat, Miroslav and Žižka, Jan}, address = {New Orleans, LA, U.S.A.}, booktitle = {Proceedings of the 13th International Conference on Industrial & Engineering Applications of AI & Expert Systems}, keywords = {machine learning; pattern recognition; computer chess}, language = {eng}, location = {New Orleans, LA, U.S.A.}, pages = {426-433}, publisher = {Springer Verlag}, title = {Learning Middlegame Patterns in Chess: A Case Study.}, year = {2000} }
TY - JOUR ID - 351333 AU - Kubat, Miroslav - Žižka, Jan PY - 2000 TI - Learning Middlegame Patterns in Chess: A Case Study. VL - LNCS PB - Springer Verlag CY - New Orleans, LA, U.S.A. KW - machine learning KW - pattern recognition KW - computer chess N2 - Experiments with a program that learns to classify chessboard positions that permit the bishop sacrifice at h7. Discussed are some problems pertaining to the collection of training examples, their representation, and preclassification. ER -
KUBAT, Miroslav a Jan ŽIŽKA. Learning Middlegame Patterns in Chess: A Case Study. In \textit{Proceedings of the 13th International Conference on Industrial \&{} Engineering Applications of AI \&{} Expert Systems}. New Orleans, LA, U.S.A.: Springer Verlag, 2000, s.~426-433. LNCS.
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