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Volumn 117, Issue 2, 2000, Pages 297-308

On the complexity of inference about probabilistic relational models

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; FORMAL LOGIC; INFERENCE ENGINES; PROBABILITY;

EID: 0033906887     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0004-3702(99)00109-5     Document Type: Article
Times cited : (31)

References (21)
  • 2
    • 84990617553 scopus 로고
    • Construction of belief and decision networks
    • Breese J.S. Construction of belief and decision networks. Computational Intelligence. Vol. 8:(4):1992;624-647.
    • (1992) Computational Intelligence , vol.8 , Issue.4 , pp. 624-647
    • Breese, J.S.1
  • 3
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inference using Bayesian belief networks
    • Cooper G.F. The computational complexity of probabilistic inference using Bayesian belief networks. Artificial Intelligence. Vol. 42:1990;393-405.
    • (1990) Artificial Intelligence , vol.42 , pp. 393-405
    • Cooper, G.F.1
  • 4
    • 0027560587 scopus 로고
    • Approximating probabilistic inference in Bayesian belief networks is NP-hard
    • Dagum P., Luby M. Approximating probabilistic inference in Bayesian belief networks is NP-hard. Artificial Intelligence. Vol. 60:1993;141-153.
    • (1993) Artificial Intelligence , vol.60 , pp. 141-153
    • Dagum, P.1    Luby, M.2
  • 6
    • 0028499410 scopus 로고
    • Anytime deduction for probabilistic logic
    • Frisch A., Haddawy P. Anytime deduction for probabilistic logic. Artificial Intelligence. Vol. 69:1994;93-122.
    • (1994) Artificial Intelligence , vol.69 , pp. 93-122
    • Frisch, A.1    Haddawy, P.2
  • 8
    • 85012775611 scopus 로고
    • Propagating uncertainty in Bayesian networks by probabilistic logic sampling
    • J.F. Lemmer, & L.N. Kanal. Amsterdam: Elsevier Science
    • Henrion M. Propagating uncertainty in Bayesian networks by probabilistic logic sampling. Lemmer J.F., Kanal L.N. Uncertainty in Artificial Intelligence, Vol. 2. 1988;149-163 Elsevier Science, Amsterdam.
    • (1988) Uncertainty in Artificial Intelligence, Vol. 2 , pp. 149-163
    • Henrion, M.1
  • 15
    • 0343787955 scopus 로고
    • Sparse sets and reducibilities
    • R.V. Book. London: Pitman
    • Mahaney S.R. Sparse sets and reducibilities. Book R.V. Studies in Complexity Theory. 1986;63-118 Pitman, London.
    • (1986) Studies in Complexity Theory , pp. 63-118
    • Mahaney, S.R.1
  • 16
    • 38249009397 scopus 로고
    • Probabilistic logic programming
    • Ng R., Subrahmanian V. Probabilistic logic programming. Inform. and Comput. Vol. 101:1992;150-201.
    • (1992) Inform. and Comput. , vol.101 , pp. 150-201
    • Ng, R.1    Subrahmanian, V.2
  • 17
    • 0030737325 scopus 로고    scopus 로고
    • Answering queries from context-sensitive probabilistic knowledge bases
    • Ngo L., Haddawy P. Answering queries from context-sensitive probabilistic knowledge bases. Theoret. Comput. Sci. Vol. 171:1997;147-177.
    • (1997) Theoret. Comput. Sci. , vol.171 , pp. 147-177
    • Ngo, L.1    Haddawy, P.2
  • 19
    • 0027702434 scopus 로고
    • Probabilistic Horn abduction and Bayesian networks
    • Poole D. Probabilistic Horn abduction and Bayesian networks. Artificial Intelligence. Vol. 64:1993;81-129.
    • (1993) Artificial Intelligence , vol.64 , pp. 81-129
    • Poole, D.1
  • 20
    • 0028538089 scopus 로고
    • Inference-driven construction of valuation systems from first-order clauses
    • Saffiotti A., Umkehrer E. Inference-driven construction of valuation systems from first-order clauses. IEEE Trans. Systems Man Cybernet. Vol. 24:(11):1994;1611-1624.
    • (1994) IEEE Trans. Systems Man Cybernet. , vol.24 , Issue.11 , pp. 1611-1624
    • Saffiotti, A.1    Umkehrer, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.