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Volumn , Issue , 2003, Pages 985-991

First-order probabilistic inference

Author keywords

[No Author keywords available]

Indexed keywords

FIRST-ORDER; POPULATION SIZES; PROBABILISTIC INFERENCE; VARIABLE ELIMINATION;

EID: 84880831450     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (419)

References (18)
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    • Breese, J.S.1
  • 6
    • 0025535649 scopus 로고
    • An analysis of first-order logics of probability
    • Halpern, J. Y. [1990]. An analysis of first-order logics of probability, Artificial Intelligence 46(3): 311-350.
    • (1990) Artificial Intelligence , vol.46 , Issue.3 , pp. 311-350
    • Halpern, J.Y.1
  • 8
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    • On the complexity of inference about probabilistic relational models
    • Jaeger, M. [2000J. On the complexity of inference about probabilistic relational models, Artificial Intelligence 111. 297-308.
    • (2000) Artificial Intelligence , vol.111 , pp. 297-308
    • Jaeger, M.1
  • 10
    • 0003199849 scopus 로고    scopus 로고
    • Probabilistic frame-based systems
    • AAA1 Press, Madison, Wisconsin
    • Kollcr, D. and Pfeffer, A. [1998]. Probabilistic frame-based systems, AAAI-98, AAA1 Press, Madison, Wisconsin.
    • (1998) AAAI-98
    • Kollcr, D.1    Pfeffer, A.2
  • 11
    • 84880854598 scopus 로고    scopus 로고
    • Approximate inference for first-order probabilistic languages
    • Seattle, WA
    • Pasula, H. and Russell, S. [2001]. Approximate inference for first-order probabilistic languages, IJCAI-OI, Seattle, WA, pp. 741-748.
    • (2001) IJCAI-OI , pp. 741-748
    • Pasula, H.1    Russell, S.2
  • 13
    • 0012348933 scopus 로고    scopus 로고
    • SPOOK: A system for probabilistic objectoriented knowledge representation
    • Stockholm, Sweden
    • Pfeffer, A., Roller, D., Milch, B., and Takusagawa, K. [1999]. SPOOK: A system for probabilistic objectoriented knowledge representation, UAI-99, Stockholm, Sweden, pp. 541-550.
    • (1999) UAI-99 , pp. 541-550
    • Pfeffer, A.1    Roller, D.2    Milch, B.3    Takusagawa, K.4
  • 14
    • 0027702434 scopus 로고
    • Probabilistic Horn abduction and Bayesian networks
    • Poole, D. [1993]. Probabilistic Horn abduction and Bayesian networks, Artificial Intelligence 64(1): 81-129.
    • (1993) Artificial Intelligence , vol.64 , Issue.1 , pp. 81-129
    • Poole, D.1
  • 15
    • 4344599161 scopus 로고    scopus 로고
    • Exploiting contextual independence in probabilistic inference
    • Poole, D. and Zhang, N. L. [2003]. Exploiting contextual independence in probabilistic inference, Journal of Artificial Intelligence Research 18: 263-313. (Pubitemid 41525938)
    • (2003) Journal of Artificial Intelligence Research , vol.18 , pp. 263-313
    • Poole, D.1    Zhang, N.L.2
  • 16
    • 84918983692 scopus 로고
    • A machine-oriented logic based on the resolution principle
    • Robinson, J. A. [1965], A machine-oriented logic based on the resolution principle, Journal ACM 12(1): 23-41.
    • (1965) Journal ACM , vol.12 , Issue.1 , pp. 23-41
    • Robinson, J.A.1
  • 18
    • 0000049635 scopus 로고    scopus 로고
    • Exploiting causal independence in bayesian network inference
    • Zhang, N. and Poole, D. [1996]. Exploiting causal independence in Bayesian network inference, Journal of Artificial Intelligence Research 5: 301-328. (Pubitemid 126646171) Canada
    • (1996) Journal of Artificial Intelligence Research , vol.5 , pp. 301-328
    • Zhang, N.L.1    Poole, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.