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Volumn 1638, Issue , 1999, Pages 293-304

Lazy propagation and independence of causal influence

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; INFERENCE ENGINES;

EID: 0141667436     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48747-6_27     Document Type: Conference Paper
Times cited : (3)

References (15)
  • 2
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inference using Bayesian belief networks
    • G. F. Cooper. The computational complexity of probabilistic inference using Bayesian belief networks. Artificial Intelligence, 42:393-405, 1990.
    • (1990) Artificial Intelligence , vol.42 , pp. 393-405
    • Cooper, G.F.1
  • 4
    • 84947918452 scopus 로고
    • Local Conditioning in Bayesian Networks
    • F. J. Diez. Local Conditioning in Bayesian Networks. Artificial Intelligence, 87:120, 1994.
    • (1994) Artificial Intelligence , vol.87 , pp. 120
    • Diez, F.J.1
  • 7
    • 84947949172 scopus 로고    scopus 로고
    • Lazy Propagation and Independence of Causal Influence
    • Department of Computer Science, Oregon State University
    • A. L. Madsen and B. D’Ambrosio. Lazy Propagation and Independence of Causal Influence. Technical report, Department of Computer Science, Oregon State University, 1998.
    • (1998) Technical report
    • Madsen, A.L.1    D’Ambrosio, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.