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Volumn 7, Issue 2-3, 2005, Pages 13-25

A Bayesian network model of two-car accidents

Author keywords

Bayesin networks; Machine learning; Modeling; Road accidents

Indexed keywords


EID: 19644361849     PISSN: 10948848     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (44)

References (14)
  • 3
    • 0038738492 scopus 로고    scopus 로고
    • Learning Belief Networks from Data: An Efficient Approach Based on Information Theory
    • Available at as of January 24, 2005
    • Cheng, J., D.A. Bell, and W. Liu. 2001. Learning Belief Networks from Data: An Efficient Approach Based on Information Theory. Available at http://www.cs.ualberta.ca/-jcheng/bnpc.htm, as of January 24, 2005.
    • (2001)
    • Cheng, J.1    Bell, D.A.2    Liu, W.3
  • 4
    • 34249832377 scopus 로고
    • A Bayesian Method for the Induction of Probabilistic Networks from Data
    • Cooper G.F. and E. Herskovits. 1992. A Bayesian Method for the Induction of Probabilistic Networks from Data. Machine Learning 9:309-347.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 5
    • 0000227837 scopus 로고    scopus 로고
    • The Relationship Between Road Accident Severity and Recorded Weather
    • Edwards, J.B. 1998. The Relationship Between Road Accident Severity and Recorded Weather. Journal of Safety Research 29(4):249-262.
    • (1998) Journal of Safety Research , vol.29 , Issue.4 , pp. 249-262
    • Edwards, J.B.1
  • 9
    • 19644371679 scopus 로고    scopus 로고
    • Differences Between Male and Female Involvement in Motor Vehicle Collisions in Hawaii, 1986-1993
    • Available at
    • Kim, K.E. 1996. Differences Between Male and Female Involvement in Motor Vehicle Collisions in Hawaii, 1986-1993. Proceedings from the Second National Conference. Available at http://www.durp.hawaii.edu.
    • (1996) Proceedings from the Second National Conference
    • Kim, K.E.1
  • 10
    • 0028482006 scopus 로고
    • Learning Bayesian Belief Networks: An Approach Based on the MDL Principle
    • Lam, W. and E Bacchus. 1994. Learning Bayesian Belief Networks: An Approach Based on the MDL Principle. Computational Intelligence 10:269-293.
    • (1994) Computational Intelligence , vol.10 , pp. 269-293
    • Lam, W.1    Bacchus, E.2
  • 11
    • 0001006209 scopus 로고
    • Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
    • Lauritzen, S.L. and D.J. Spiegelhalter 1988. Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems. Journal of the Royal Statistical Society B 50(2):157-194.
    • (1988) Journal of the Royal Statistical Society B , vol.50 , Issue.2 , pp. 157-194
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 12
    • 0742332704 scopus 로고    scopus 로고
    • Norsys Software Corp. Vancouver, Canada
    • Norsys Software Corp. 1997. Netica Application User's Guide. Vancouver, Canada.
    • (1997) Netica Application User's Guide
  • 13
    • 0004213845 scopus 로고    scopus 로고
    • Cambridge, UK: Cambridge University Press
    • Pearl, J. 2000. Causality. Cambridge, UK: Cambridge University Press.
    • (2000) Causality
    • Pearl, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.