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Volumn 29, Issue 8, 2008, Pages 1154-1159

BayesChess: A computer chess program based on Bayesian networks

Author keywords

Adaptive learning; Bayesian networks; Computer chess

Indexed keywords

ADAPTIVE SYSTEMS; BAYESIAN NETWORKS; INTERACTIVE COMPUTER GRAPHICS; LEARNING SYSTEMS; PATTERN RECOGNITION;

EID: 42049122307     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.06.013     Document Type: Article
Times cited : (7)

References (11)
  • 1
    • 42049122547 scopus 로고    scopus 로고
    • Blake, C.L., Merz, C.J., 1998. UCI repository of machine learning databases, University of California, Irvine, Dept. of Information and Computer Sciences. .
    • Blake, C.L., Merz, C.J., 1998. UCI repository of machine learning databases, University of California, Irvine, Dept. of Information and Computer Sciences. .
  • 2
    • 84910071893 scopus 로고    scopus 로고
    • de Campos, L.M., Gámez, J.A., Moral, S., 2003. Partial abductive inference in Bayesian networks by using probability trees. In: Proc. 5th Internat. Conf. on Enterprise Information Systems (ICEIS'03), Angers, pp. 83-91.
    • de Campos, L.M., Gámez, J.A., Moral, S., 2003. Partial abductive inference in Bayesian networks by using probability trees. In: Proc. 5th Internat. Conf. on Enterprise Information Systems (ICEIS'03), Angers, pp. 83-91.
  • 4
    • 0007943864 scopus 로고    scopus 로고
    • Machine learning in computer chess: The next generation
    • Fürnkranz J. Machine learning in computer chess: The next generation. ICCA J. 9 3 (1996) 147-161
    • (1996) ICCA J. , vol.9 , Issue.3 , pp. 147-161
    • Fürnkranz, J.1
  • 7
    • 33646819920 scopus 로고    scopus 로고
    • The clash of the titans: Kramnik-FRITZ Bahrain
    • Muller K. The clash of the titans: Kramnik-FRITZ Bahrain. ICGA J. 25 (2002) 233-238
    • (2002) ICGA J. , vol.25 , pp. 233-238
    • Muller, K.1
  • 9
    • 0006776658 scopus 로고    scopus 로고
    • An efficient algorithm for finding the M most probable configurations in Bayesian networks
    • Nilsson D. An efficient algorithm for finding the M most probable configurations in Bayesian networks. Statist. Comput. 9 (1998) 159-173
    • (1998) Statist. Comput. , vol.9 , pp. 159-173
    • Nilsson, D.1
  • 11
    • 42049115836 scopus 로고
    • An overview of machine learning in computer chess
    • Skiena S.S. An overview of machine learning in computer chess. ICCA J. 9 1 (1986) 20-28
    • (1986) ICCA J. , vol.9 , Issue.1 , pp. 20-28
    • Skiena, S.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.