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Volumn 6676 LNCS, Issue PART 2, 2011, Pages 151-158

Network-scale traffic modeling and forecasting with graphical Lasso

Author keywords

Graphical Lasso; Neural networks; Traffic flow forecasting

Indexed keywords

APPLICATION DOMAINS; GRAPHICAL LASSO; GRAPHICAL MODEL; INTELLIGENT TRANSPORTATION SYSTEMS; MACHINE-LEARNING; MULTI-LINK; TRAFFIC FLOW; TRAFFIC FLOW FORECASTING; TRAFFIC FORECASTING; TRAFFIC MODELING;

EID: 79957865043     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21090-7_18     Document Type: Conference Paper
Times cited : (21)

References (11)
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  • 3
    • 45849134070 scopus 로고    scopus 로고
    • Sparse inverse covariance estimation with the graphical lasso
    • Friedman, J., Hastie, T., Tibshirani, R.: Sparse inverse covariance estimation with the graphical lasso. Biostatistics 9(3), 432-441 (2008)
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    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 4
    • 2942734703 scopus 로고    scopus 로고
    • Benefiting from the variables that variable selection discards
    • Rich, C., Virginia, R.S.: Benefiting from the variables that variable selection discards. Machine Learning Research 3, 1245-1264 (2003)
    • (2003) Machine Learning Research , vol.3 , pp. 1245-1264
    • Rich, C.1    Virginia, R.S.2
  • 6
    • 33747163541 scopus 로고    scopus 로고
    • High dimensional graphs and variable selection with the lasso
    • Meinshausen, N., Bühlmann, P.: High dimensional graphs and variable selection with the lasso. The Annals of Statistics 34(3), 1436-1462 (2006)
    • (2006) The Annals of Statistics , vol.34 , Issue.3 , pp. 1436-1462
    • Meinshausen, N.1    Bühlmann, P.2
  • 7
    • 33947115409 scopus 로고    scopus 로고
    • Model election and estimation in the Gaussian graphical model
    • Yuan, M., Lin, Y.: Model election and estimation in the Gaussian graphical model. Biometrika 94(1), 19-35 (2007)
    • (2007) Biometrika , vol.94 , Issue.1 , pp. 19-35
    • Yuan, M.1    Lin, Y.2
  • 8
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    • Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data
    • Banerjee, O., El Ghaoui, L., d'Aspremont, A.: Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data. Machine Learning Research 9, 485-516 (2008)
    • (2008) Machine Learning Research , vol.9 , pp. 485-516
    • Banerjee, O.1    El Ghaoui, L.2    D'Aspremont, A.3
  • 10
    • 34249888176 scopus 로고    scopus 로고
    • The selective random subspace predictor for traffic flow forecasting
    • Sun, S., Zhang, C.: The selective random subspace predictor for traffic flow forecasting. IEEE Transactions on Intelligent Transportation Systems 8(2), 367-373 (2007)
    • (2007) IEEE Transactions on Intelligent Transportation Systems , vol.8 , Issue.2 , pp. 367-373
    • Sun, S.1    Zhang, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.