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Volumn 168, Issue , 2009, Pages 7-39

Uncertainty representation and reasoning in complex systems

Author keywords

Artificial intelligence; Bayesian inference; Incomplete information; Plausible reasoning; Probabilistic ontologies; Uncertainty

Indexed keywords


EID: 57749190522     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-88075-2_2     Document Type: Article
Times cited : (6)

References (34)
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    • Costa, P.C.G., Laskey, K.B.: PR-OWL: A Framework for Probabilistic Ontologies. In: Proceedings of the International Conference on Formal Ontology in Information Systems (FOIS 2006), Baltimore, MD, USA, November 9-11 (2006)
    • Costa, P.C.G., Laskey, K.B.: PR-OWL: A Framework for Probabilistic Ontologies. In: Proceedings of the International Conference on Formal Ontology in Information Systems (FOIS 2006), Baltimore, MD, USA, November 9-11 (2006)
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    • Costa, P.C.G.: Bayesian Semantics for the Semantic Web. Doctoral dissertation. In: Department of Systems Engineering and Operations Research, p. 312. George Mason University, Fairfax (2005)
    • Costa, P.C.G.: Bayesian Semantics for the Semantic Web. Doctoral dissertation. In: Department of Systems Engineering and Operations Research, p. 312. George Mason University, Fairfax (2005)
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    • Building Probabilistic Networks: Where do the Numbers Come From - A Guide to the Literature, Guest Editors' Introduction
    • Druzdzel, M.J., van der Gaag, L.C.: Building Probabilistic Networks: Where do the Numbers Come From - A Guide to the Literature, Guest Editors' Introduction. IEEE Transactions in Knowledge and Data Engineering 12, 481-486 (2000)
    • (2000) IEEE Transactions in Knowledge and Data Engineering , vol.12 , pp. 481-486
    • Druzdzel, M.J.1    van der Gaag, L.C.2
  • 10
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    • A language and program for complex Bayesian modeling
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    • (1994) The Statistician , vol.43 , pp. 169-178
    • Gilks, W.1    Thomas, A.2    Spiegelhalter, D.J.3
  • 12
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    • Heckerman, D., Meek, C., Koller, D.: Probabilistic Models for Relational Data. MSR-TR-2004-30. Microsoft Corporation, Redmond (2004)
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    • Jaeger, M.: Probabilistic role models and the guarded fragment. In: Proceedings IPMU 2004, pp. 235-242 (2006); Extended version in Int. J. Uncertain. Fuzz. 14(1), 43-60 (2006)
  • 17
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    • Kersting, K., De Raedt, L.: Adaptive Bayesian Logic Programs. In: Rouveirol, C., Sebag, M. (eds.) ILP 2001. LNCS (LNAI), 2157, p. 104. Springer, Heidelberg (2001)
    • Kersting, K., De Raedt, L.: Adaptive Bayesian Logic Programs. In: Rouveirol, C., Sebag, M. (eds.) ILP 2001. LNCS (LNAI), vol. 2157, p. 104. Springer, Heidelberg (2001)
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    • Koller, D., Levy, A.Y., Pfeffer, A.: P-CLASSIC: A Tractable Probabilistic Description Logic. In: The Fourteenth National Conference on Artificial Intelligence (AAAI 1997), Providence, RI, USA, July 27-31 (1997)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.