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Volumn , Issue , 2008, Pages 655-659

Learning dynamic naive bayesian classifiers

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; CLASSIFIERS; COMPUTATIONAL GRAMMARS; GESTURE RECOGNITION; LEARNING SYSTEMS; MARKOV PROCESSES; OBJECT RECOGNITION; SPEECH RECOGNITION;

EID: 55849105887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (16)
  • 3
    • 55849094071 scopus 로고    scopus 로고
    • Consortium, E. 2002. Elvira: an environment for creating and using probabilistic graphical models. In Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02).
    • Consortium, E. 2002. Elvira: an environment for creating and using probabilistic graphical models. In Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02).
  • 8
    • 0028482006 scopus 로고
    • Learning bayesian belief netwoks: An aproach based on the mdl principle
    • Lam, W., and Bacchus, F. 1994. Learning bayesian belief netwoks: An aproach based on the mdl principle. Computational Intelligence 10:269-293.
    • (1994) Computational Intelligence , vol.10 , pp. 269-293
    • Lam, W.1    Bacchus, F.2
  • 11
    • 85162801823 scopus 로고
    • An iterative improvement approach for the discretization of numeric attributes in bayesian classifiers
    • Pazzani, M. J. 1995. An iterative improvement approach for the discretization of numeric attributes in bayesian classifiers. KDD95 228-233.
    • (1995) KDD95 , pp. 228-233
    • Pazzani, M.J.1
  • 15
    • 84901416851 scopus 로고
    • An evolution strategies approach to the simultaneous discretization of numeric attributes in data mining
    • Canberra, Australia: IEEE Press. 2003
    • Valdes, J.; Molina, L.; and Peris, N. 2003. An evolution strategies approach to the simultaneous discretization of numeric attributes in data mining. In Proc. of the World Congress on Evolutionary Computation, 1957-1964. Canberra, Australia: IEEE Press.
    • (1957) Proc. of the World Congress on Evolutionary Computation
    • Valdes, J.1    Molina, L.2    Peris, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.