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Volumn 2, Issue , 2007, Pages 1902-1903

Unscented message passing for arbitrary continuous variables in Bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CASE BASED REASONING; COMPUTER SIMULATION; PROBABILITY DISTRIBUTIONS; SAMPLING;

EID: 36348998034     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (7)
  • 3
    • 36348990130 scopus 로고    scopus 로고
    • Julier, S. J., and Uhlmann, J. K. 1996. A general method for approximating non-linear transformations of probability distribution. Technical report, RRG, Dept. of Engineering Science, University of Oxford.
    • Julier, S. J., and Uhlmann, J. K. 1996. A general method for approximating non-linear transformations of probability distribution. Technical report, RRG, Dept. of Engineering Science, University of Oxford.
  • 4
    • 36348949035 scopus 로고    scopus 로고
    • The scaled unscented transformation. Lauritzen, S. 1992. Propagation of probabilities, means amd variances in mixed graphical association models
    • Julier, S. J. 2002. The scaled unscented transformation. Lauritzen, S. 1992. Propagation of probabilities, means amd variances in mixed graphical association models. JASA 87(420): 1098-1108.
    • (2002) JASA , vol.87 , Issue.420 , pp. 1098-1108
    • Julier, S.J.1
  • 7
    • 0342337766 scopus 로고    scopus 로고
    • Correctness of belief propagation in gaussian graphical models of arbitrary topology
    • Technical report, Dept. of Computer Science, University of California at Berkeley
    • Weiss, Y., and Freeman, W. T. 1999. Correctness of belief propagation in gaussian graphical models of arbitrary topology. Technical report, Dept. of Computer Science, University of California at Berkeley.
    • (1999)
    • Weiss, Y.1    Freeman, W.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.