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Volumn 2810, Issue , 2003, Pages 100-110

Learning dynamic Bayesian networks from multivariate time series with changing dependencies

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION ANALYSIS; REFINING; TIME SERIES;

EID: 33846501839     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45231-7_10     Document Type: Article
Times cited : (13)

References (15)
  • 11
    • 0036532775 scopus 로고    scopus 로고
    • Bayesian Clustering by Dynamics
    • Ramoni, M, Sebstiani, P., Cohen, P.: Bayesian Clustering by Dynamics, Machine Learning, (2002), Vol. 47, No. 1 91-121
    • (2002) Machine Learning , vol.47 , Issue.1 , pp. 91-121
    • Ramoni, M.1    Sebstiani, P.2    Cohen, P.3
  • 12
    • 0035340322 scopus 로고    scopus 로고
    • Evolutionary Learning of Dynamic Probabilistic Models with Large Time Lags
    • Wiley
    • Tucker, A., Liu, X., Ogden-Swift, A.: Evolutionary Learning of Dynamic Probabilistic Models with Large Time Lags. International Journal of Intelligent Systems 16, Wiley, (2001) 621-645
    • (2001) International Journal of Intelligent Systems , vol.16 , pp. 621-645
    • Tucker, A.1    Liu, X.2    Ogden-Swift, A.3
  • 15
    • 0033076357 scopus 로고    scopus 로고
    • Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks
    • Wong, M., Lam, W., Leung, S.: Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks IEEE Transactions on Pattern Analysis and Machine Intelligence, (1999), Vol. 21, No.2, 174-178
    • (1999) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.21 , Issue.2 , pp. 174-178
    • Wong, M.1    Lam, W.2    Leung, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.