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Volumn 2, Issue , 1997, Pages 1292-1296

Space-efficient inference in dynamic probabilistic networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX MODEL; FUTURE OBSERVATIONS; LEARNING PROBLEM; POSTERIOR DISTRIBUTIONS; PROBABILISTIC NETWORK; SPACE AND TIME; STATE VARIABLES; TIME ALGORITHMS;

EID: 84880671418     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (11)
  • 1
    • 0002724634 scopus 로고    scopus 로고
    • Inference using message propagation and topology transformation in vector gaussian continuous networks
    • Portland, Oregon, Morgan Kaufmann
    • S. Alag and A. Agogino. Inference using message propagation and topology transformation in vector gaussian continuous networks. In Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI-96), pages 20-27, Portland, Oregon, 1996. Morgan Kaufmann.
    • (1996) Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI-96) , pp. 20-27
    • Alag, S.1    Agogino, A.2
  • 2
    • 84990553353 scopus 로고
    • A model for reasoning about persistence and causation
    • Thomas Dean and Keiji Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5(3): 142-150, 1989.
    • (1989) Computational Intelligence , vol.5 , Issue.3 , pp. 142-150
    • Dean, T.1    Kanazawa, K.2
  • 5
    • 0001698979 scopus 로고
    • Bayesian updating in causal probabilistic networks by local computations
    • Finn V. Jensen, Steffen L. Lauritzen, and Kristian G. Olesen. Bayesian updating in causal probabilistic networks by local computations. Computational Statistics Quarterly, 5(4):269-282, 1990.
    • (1990) Computational Statistics Quarterly , vol.5 , Issue.4 , pp. 269-282
    • Jensen, F.V.1    Lauritzen, S.L.2    Olesen, K.G.3
  • 6
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • March
    • R. E. Kalman. A new approach to linear filtering and prediction problems. Journal of Basic Engineering, pages 35-46, March 1960.
    • (1960) Journal of Basic Engineering , pp. 35-46
    • Kalman, R.E.1
  • 8
    • 58149210716 scopus 로고
    • The EM algorithm for graphical association models with missing data
    • S. L. Lauritzen. The EM algorithm for graphical association models with missing data. Computational Statistics and Data Analysis, 19:191- 201, 1995.
    • (1995) Computational Statistics and Data Analysis , vol.19 , pp. 191-201
    • Lauritzen, S.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.