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Volumn , Issue 1935, 2005, Pages 57-67

Markov chain Monte Carlo multiple imputation using Bayesian networks for incomplete intelligent transportation systems data

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; DATA PROCESSING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MONTE CARLO METHODS; NEURAL NETWORKS; STATISTICAL METHODS;

EID: 33646433966     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1935-07     Document Type: Conference Paper
Times cited : (95)

References (18)
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    • Transportation Research Board of the National Academies, Washington, D.C.
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    • Smith, B.1    Babiceanu, S.2
  • 7
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    • Exploring imputation techniques for missing data in transportation management systems
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    • Smith, B. L., W. T. Scherer, and J. H. Conklin. Exploring Imputation Techniques for Missing Data in Transportation Management Systems. In Transportation Research Record: Journal of the Transportation Research Board, No. 1836, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 132-142.
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  • 11
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    • The computational complexity of probabilistic inference using Bayesian belief networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.