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Volumn 2, Issue , 2007, Pages 1256-1262

Macroscopic models of clique tree growth for bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

BIPARTITE BAYESIAN NETWORKS; GROWTH CURVES; ROOT NODES; TREE SIZE GROWTH;

EID: 36348943444     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (17)
  • 4
    • 0035250750 scopus 로고    scopus 로고
    • Recursive conditioning
    • Darwiche, A. 2001. Recursive conditioning. Artificial Intelligence 126(1-2):5-41.
    • (2001) Artificial Intelligence , vol.126 , Issue.1-2 , pp. 5-41
    • Darwiche, A.1
  • 5
    • 0035121258 scopus 로고    scopus 로고
    • Topological parameters for time-space tradeoff
    • Dechter, R., and Fattah, Y. E. 2001. Topological parameters for time-space tradeoff. Artificial Intelligence 125(1-2):93-118.
    • (2001) Artificial Intelligence , vol.125 , Issue.1-2 , pp. 93-118
    • Dechter, R.1    Fattah, Y.E.2
  • 6
    • 0023842374 scopus 로고
    • Network-based heuristics for constraint satisfaction problems
    • Dechter, R., and Pearl, J. 1987. Network-based heuristics for constraint satisfaction problems. Artificial Intelligence 34(1): 1-38.
    • (1987) Artificial Intelligence , vol.34 , Issue.1 , pp. 1-38
    • Dechter, R.1    Pearl, J.2
  • 8
    • 2042457150 scopus 로고    scopus 로고
    • Treewidth: Computational experiments
    • Broersma, H, Faigle, U, Hurink, J, and Pickl, S, eds, Elsevier Science Publishers
    • Koster, A. M. C. A.; Bodlaender, H. L.; and van Hoesel, S. P. M. 2001. Treewidth: Computational experiments. In Broersma, H.; Faigle, U.; Hurink, J.; and Pickl, S., eds., Electronic Notes in Discrete Mathematics, volume 8. Elsevier Science Publishers.
    • (2001) Electronic Notes in Discrete Mathematics , vol.8
    • Koster, A.M.C.A.1    Bodlaender, H.L.2    van Hoesel, S.P.M.3
  • 9
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems (with discussion)
    • Lauritzen, S., and Spiegelhalter, D. J. 1988. Local computations with probabilities on graphical structures and their application to expert systems (with discussion). Journal of the Royal Statistical Society series B 50(2): 157-224.
    • (1988) Journal of the Royal Statistical Society series B , vol.50 , Issue.2 , pp. 157-224
    • Lauritzen, S.1    Spiegelhalter, D.J.2
  • 12
    • 33750631759 scopus 로고    scopus 로고
    • Controlled generation of hard and easy Bayesian networks: Impact on maximal clique tree in tree clustering
    • Mengshoel, O. J.; Wilkins, D. C.; and Roth, D. 2006. Controlled generation of hard and easy Bayesian networks: Impact on maximal clique tree in tree clustering. Artificial Intelligence 170(16-17): 1137-1174.
    • (2006) Artificial Intelligence , vol.170 , Issue.16-17 , pp. 1137-1174
    • Mengshoel, O.J.1    Wilkins, D.C.2    Roth, D.3
  • 16
    • 0026056182 scopus 로고
    • Probabilistic diagnosis using a reformulation of the INTERNIST1/QMR knowledge base: I. The probabilistic model and inference algorithms
    • Shwe, M.; Middleton, B.; Heckerman, D.; Henrion, M.; Horvitz, E.; Lehmann, H.; and Cooper, G. 1991. Probabilistic diagnosis using a reformulation of the INTERNIST1/QMR knowledge base: I. The probabilistic model and inference algorithms. Methods of Information in Medicine 30(4):241-255.
    • (1991) Methods of Information in Medicine , vol.30 , Issue.4 , pp. 241-255
    • Shwe, M.1    Middleton, B.2    Heckerman, D.3    Henrion, M.4    Horvitz, E.5    Lehmann, H.6    Cooper, G.7
  • 17
    • 38249019981 scopus 로고
    • Probabilistic inference in multiply connected belief networks using loop cutsets
    • Suermondt, H. J., and Cooper, G. F. 1990. Probabilistic inference in multiply connected belief networks using loop cutsets. International Journal of Approximate Reasoning 4:283-306.
    • (1990) International Journal of Approximate Reasoning , vol.4 , pp. 283-306
    • Suermondt, H.J.1    Cooper, G.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.