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Volumn , Issue , 2011, Pages 822-830

Belief propagation by message passing in junction trees: Computing each message faster using GPU parallelization

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; FORESTRY; GRAPHICS PROCESSING UNIT; TREES (MATHEMATICS);

EID: 80053166370     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (15)
  • 5
    • 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(2):191-201, 1995.
    • (1995) Computational Statistics and Data Analysis , vol.19 , Issue.2 , pp. 191-201
    • Lauritzen, S.L.1
  • 6
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • S. L. Lauritzen and D. J. Spiegelhalter. Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society, 50(2):157-224, 1988.
    • (1988) Journal of the Royal Statistical Society , vol.50 , Issue.2 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 9
    • 77953725163 scopus 로고    scopus 로고
    • Understanding the scalability of Bayesian network inference using clique tree growth curves
    • O. J. Mengshoel. Understanding the scalability of Bayesian network inference using clique tree growth curves. Artificial Intelligence, 174:984-1006, 2010.
    • (2010) Artificial Intelligence , vol.174 , pp. 984-1006
    • Mengshoel, O.J.1
  • 10
    • 34047220430 scopus 로고    scopus 로고
    • Scalable parallel implementation of exact inference in Bayesian Networks
    • DOI 10.1109/ICPADS.2006.96, 1655658, Proceedings - 12th International Conference on Parallel and Distributed Systems, ICPADS 2006
    • V. K. Namasivayam and V. K. Prasanna. Scalable parallel implementation of exact inference in Bayesian networks. In Proc. of the 12th International Conference on Parallel and Distributed System, pages 143-150, 2006. (Pubitemid 46530700)
    • (2006) Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS , vol.1 , pp. 143-150
    • Namasivayam, V.K.1    Prasanna, V.K.2
  • 11
    • 80053046736 scopus 로고    scopus 로고
    • NVIDIA. NVIDIA CUDA C programming guide. http://developer.download. nvidia.com/compute/cuda/2-0/docs/NVIDIA-CUDA-Programming-Guide-2.0.pdf.
    • NVIDIA CUDA C Programming Guide


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.