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- 1.0467760 - ÚI 2017 RIV CH eng C - Conference Paper (international conference)
Moudřík, Josef - Neruda, Roman
Determining Player Skill in the Game of Go with Deep Neural Networks.
Theory and Practice of Natural Computing. Cham: Springer, 2016 - (Martín-Vide, C.; Mizuki, T.; Vega-Rodríguez, M.), s. 188-195. Lecture Notes in Computer Science, 10071. ISBN 978-3-319-49000-7. ISSN 0302-9743.
[TPNC 2016. International Conference on the Theory and Practice of Natural Computing /5./. Sendai (JP), 12.12.2016-13.12.2016]
R&D Projects: GA ČR GA15-19877S
Institutional support: RVO:67985807
Keywords : computer Go * machine learning * board games * skill assessment * deep neural networks
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0265797File Download Size Commentary Version Access a0467760.pdf 0 267.1 KB Publisher’s postprint require - 2.0459376 - ÚI 2017 RIV US eng C - Conference Paper (international conference)
Moudřík, J. - Baudiš, P. - Neruda, Roman
Evaluating Go Game Records for Prediction of Player Attributes.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games. Piscataway: IEEE, 2015, s. 162-168. ISBN 978-1-4799-8622-4. ISSN 2325-4289.
[CIG 2015. IEEE Conference on Computational Intelligence and Games. Tainan (TW), 31.08.2015-05.09.2015]
R&D Projects: GA ČR GA15-19877S
Grant - others:GA UK(CZ) 364015; SVV(CZ) 260 224
Institutional support: RVO:67985807
Keywords : computer Go * machine learning * feature extraction * board games * skill assessment
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0259581File Download Size Commentary Version Access a0459376.pdf 1 170.9 KB Publisher’s postprint require