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Volumn , Issue , 2012, Pages 101-108

Accelerating bayesian network parameter learning using hadoop and mapreduce

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS (BNS); CONDITIONAL PROBABILITY TABLES; DATA SET SIZE; DATA SETS; DIFFERENT SIZES; EXPECTATION-MAXIMIZATION ALGORITHMS; HIDDEN NODES; INCOMPLETE DATA; JUNCTION TREES; MAP-REDUCE; MEMORY RESOURCES; NETWORK PARAMETERS; PARAMETER LEARNING;

EID: 84866621641     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2351316.2351330     Document Type: Conference Paper
Times cited : (29)

References (14)
  • 3
    • 37549003336 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat. Mapreduce: Simplified data processing on large clusters. Communications of the ACM, 51(1):107-113, 2008.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 5
    • 49449098182 scopus 로고    scopus 로고
    • What is the expectation maximization algorithm?
    • C. Do and S. Batzoglou. What is the expectation maximization algorithm? Nature biotechnology, 26(8):897-899, 2008.
    • (2008) Nature Biotechnology , vol.26 , Issue.8 , pp. 897-899
    • Do, C.1    Batzoglou, S.2
  • 7
    • 80052395632 scopus 로고    scopus 로고
    • Residual splash for optimally parallelizing belief propagation
    • J. Gonzalez, Y. Low, and C. Guestrin. Residual splash for optimally parallelizing belief propagation. AISTATS-09, 2009.
    • (2009) AISTATS-09
    • Gonzalez, J.1    Low, Y.2    Guestrin, C.3
  • 13
    • 84986980101 scopus 로고
    • Sequential up- dating of conditional probabilities on directed graphical structures
    • D. J. Spiegelhalter and S. L. Lauritzen. Sequential up- dating of conditional probabilities on directed graphical structures. Networks, 20:579-605, 1990.
    • (1990) Networks , vol.20 , pp. 579-605
    • Spiegelhalter, D.J.1    Lauritzen, S.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.