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Volumn 7268 LNAI, Issue PART 2, 2012, Pages 188-195

Graphical models as surrogates for complex ground motion models

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; CLASSIFIERS; DECISION MAKING; GRAPHIC METHODS; INFERENCE ENGINES; RISK ASSESSMENT; SEISMIC DESIGN; SOFT COMPUTING;

EID: 84861037104     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29350-4_23     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 1
    • 0037343925 scopus 로고    scopus 로고
    • Simulation of ground motion using the stochastic method
    • Boore, D.M.: Simulation of ground motion using the stochastic method. Pure and Applied Geophysics 160, 635-676 (2003)
    • (2003) Pure and Applied Geophysics , vol.160 , pp. 635-676
    • Boore, D.M.1
  • 5
    • 0030359493 scopus 로고    scopus 로고
    • Building classifiers using bayesian networks
    • Friedman, N., Goldszmidt, M.: Building Classifiers using Bayesian Networks. In: AAAI 1996, pp. 1277-1284 (1996)
    • (1996) AAAI 1996 , pp. 1277-1284
    • Friedman, N.1    Goldszmidt, M.2
  • 6
    • 0001156075 scopus 로고    scopus 로고
    • Discretizing continuous attributeswhile learning bayesian networks
    • Friedman, N., Goldszmidt, M.: Discretizing Continuous AttributesWhile Learning Bayesian Networks. In: Proc. ICML (1996)
    • (1996) Proc. ICML
    • Friedman, N.1    Goldszmidt, M.2
  • 8
    • 33646771449 scopus 로고    scopus 로고
    • A multivariate discretization method for learning Bayesian networks from mixed data
    • Monti, S., Cooper, G.: A multivariate discretization method for learning Bayesian networks from mixed data. In: Uncertainty in Artificial Intelligence (UAI), pp. 404-413 (1998)
    • (1998) Uncertainty in Artificial Intelligence (UAI , pp. 404-413
    • Monti, S.1    Cooper, G.2
  • 10
    • 67049114703 scopus 로고    scopus 로고
    • Learning bayesian networks: A MAP criterion for joint selection of model structure and parameter
    • December
    • Riggelsen, C.: Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter. In: 2008 Eighth IEEE International Conference on Data Mining, pp. 522-529 (December 2008)
    • (2008) 2008 Eighth IEEE International Conference on Data Mining , pp. 522-529
    • Riggelsen, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.