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Jan Žižka,
a Czech computer scientist and associate professor at Faculty of Informatics, Masaryk University, Brno. His research interests include machine learning, data mining, and pattern recognition. Along with Miroslav Kubat, he worked on a program that learns to classify chess positions that permit the bishop sacrifice at h7 ^[1]. In 2003, co-autored by Michal Mádr, they elaborate on Learning Representative Patterns From Real Chess Positions by generating decision trees using Quinlan's C5.0/See5 algorithm ^[2].

Selected Publications

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• Miroslav Kubat, Jan Žižka (2000). Learning Middle Game Patterns in Chess: A Case Study. Lecture Notes in Computer Science, Vol. 1821, Springer
• Jan Žižka, Michal Mádr (2003). Learning Representative Patterns from Real Chess Positions: A Case Study. IICAI 2003

External Links

• Assoc. Prof. Ing. Jan Žižka, CSc

References

1. ^ Miroslav Kubat, Jan Žižka (2000). Learning Middle Game Patterns in Chess: A Case Study. Lecture Notes in Computer Science, Vol. 1821, Springer
2. ^ Jan Žižka, Michal Mádr (2000). Learning Representative Patterns from Real Chess Positions: A Case Study. IICAI 2003
3. ^ dblp: Jan Zizka
4. ^ Assoc. Prof. Ing. Jan Žižka, CSc - Publications

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