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Volumn 227, Issue , 2007, Pages 369-376

Parameter learning for relational Bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; GRADIENT METHODS; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION;

EID: 34547990837     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273543     Document Type: Conference Paper
Times cited : (24)

References (16)
  • 1
    • 0031273462 scopus 로고    scopus 로고
    • Adaptive probabilistic networks with hidden variables
    • Binder, J., Koller, D., Russell, S., & Kanazawa, K. (1997). Adaptive probabilistic networks with hidden variables. Machine Learning, 29, 213-244.
    • (1997) Machine Learning , vol.29 , pp. 213-244
    • Binder, J.1    Koller, D.2    Russell, S.3    Kanazawa, K.4
  • 5
    • 0035623092 scopus 로고    scopus 로고
    • Complex probabilistic modeling with recursive relational Bayesian networks
    • Jaeger, M. (2001). Complex probabilistic modeling with recursive relational Bayesian networks. Annals of Mathematics and Artificial Intelligence, 32, 179-220.
    • (2001) Annals of Mathematics and Artificial Intelligence , vol.32 , pp. 179-220
    • Jaeger, M.1
  • 10
    • 0002205343 scopus 로고    scopus 로고
    • Stochastic logic programs. In de L
    • Raedt Ed, IOS Press
    • Muggleton, S. (1996). Stochastic logic programs. In de L. Raedt (Ed.), Advances in inductive logic programming, 254-264. IOS Press.
    • (1996) Advances in inductive logic programming , pp. 254-264
    • Muggleton, S.1
  • 15
    • 0005874223 scopus 로고
    • Path problems in graphs
    • Computing Supplementum, Springer
    • Rote, G. (1990). Path problems in graphs. In Computational graph theory, no. 7 in Computing Supplementum, 155-189. Springer.
    • (1990) Computational graph theory , Issue.7 , pp. 155-189
    • Rote, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.