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Volumn 3025, Issue , 2004, Pages 291-300

Hierarchical Bayesian Networks: An approach to classification and learning for structured data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DNA SEQUENCES; LEARNING SYSTEMS; LOGIC PROGRAMMING; MATHEMATICAL MODELS; PROBABILITY; REGRESSION ANALYSIS; SET THEORY; TREES (MATHEMATICS); ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS;

EID: 9444224436     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24674-9_31     Document Type: Conference Paper
Times cited : (33)

References (18)
  • 1
    • 34249832377 scopus 로고
    • Cooper and edward herskovits. A bayesian method for the induction of probabilistic networks from data
    • Gregory F. Cooper and Edward Herskovits. A bayesian method for the induction of probabilistic networks from data. Machine Learning, 9:309-347, 1992.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Gregory, F.1
  • 2
    • 0035451897 scopus 로고    scopus 로고
    • Parameter estimation in stochastic logic programs
    • James Cussens. Parameter estimation in stochastic logic programs. Machine Learning, 44(3):245-271, 2001.
    • (2001) Machine Learning , vol.44 , Issue.3 , pp. 245-271
    • Cussens, J.1
  • 8
    • 9444224058 scopus 로고    scopus 로고
    • Hierarchical bayesian networks: A probabilistic reasoning model for structured domains
    • Edwin de long and Tim Dates, editors. University of New South Wales
    • Elias Gyftodimos and Peter A. Flach. Hierarchical bayesian networks: A probabilistic reasoning model for structured domains. In Edwin de long and Tim Dates, editors, Proceedings of the ICML-2002 Workshop on Development of Representations. University of New South Wales, 2002.
    • (2002) Proceedings of the ICML-2002 Workshop on Development of Representations
    • Gyftodimos, E.1    Flach, P.A.2
  • 9
    • 9444234690 scopus 로고    scopus 로고
    • Bayesian logic programs
    • Institute for Computer Science, Machine Learning Lab, University of Freiburg, Germany
    • Kristian Kersting and Luc De Raedt. Bayesian logic programs. Technical report, Institute for Computer Science, Machine Learning Lab, University of Freiburg, Germany, 2000.
    • (2000) Technical Report
    • Kersting, K.1    De Raedt, L.2
  • 13
    • 0028482006 scopus 로고
    • Learning bayesian belief networks: An approach based on the mdl principle
    • Wai Lam and Fahiem Bacchus. Learning bayesian belief networks: An approach based on the mdl principle. Computational Intelligence, 10:269-294, 1994.
    • (1994) Computational Intelligence , vol.10 , pp. 269-294
    • Lam, W.1    Bacchus, F.2
  • 15
    • 0002205343 scopus 로고    scopus 로고
    • Stochastic logic programs
    • Luc de Raedt, editor. IOS press
    • Stephen Muggleton. Stochastic logic programs. In Luc de Raedt, editor, Advances in inductive logic programming, pages 254-264. IOS press, 1996.
    • (1996) Advances in Inductive Logic Programming , pp. 254-264
    • Muggleton, S.1
  • 17
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Jorma Rissanen. Modeling by shortest data description. Automatica, 14:465-471, 1978.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.