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Volumn 2016-October, Issue , 2016, Pages 4064-4069

Ensemble LSDD-based change detection tests

Author keywords

[No Author keywords available]

Indexed keywords

LEAST SQUARES APPROXIMATIONS; SIGNAL DETECTION;

EID: 85007202135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2016.7727728     Document Type: Conference Paper
Times cited : (3)

References (22)
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  • 2
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  • 6
    • 77949913486 scopus 로고    scopus 로고
    • The impact of diversity on online ensemble learning in the presence of concept drift
    • L. L. Minku, A. P. White, and X. Yao, "The impact of diversity on online ensemble learning in the presence of concept drift", IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 5, pp. 730-742, 2010.
    • (2010) IEEE Transactions on Knowledge and Data Engineering , vol.22 , Issue.5 , pp. 730-742
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  • 7
    • 84857738059 scopus 로고    scopus 로고
    • Ddd: A new ensemble approach for dealing with concept drift
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    • Minku, L.L.1    Yao, X.2
  • 9
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    • C. Alippi and M. Roveri, "Just-in-time adaptive classifiers-Part I: Detecting nonstationary changes", IEEE Transactions on Neural Networks, vol. 19, no. 7, pp. 1145-1153, 2008.
    • (2008) IEEE Transactions on Neural Networks , vol.19 , Issue.7 , pp. 1145-1153
    • Alippi, C.1    Roveri, M.2
  • 10
    • 57749121230 scopus 로고    scopus 로고
    • Just-in-time adaptive classifiers-Part II: Designing the classifier
    • C. Alippi and M. Roveri, "Just-in-time adaptive classifiers-Part II: Designing the classifier", IEEE Transactions on Neural Networks, vol. 19, no. 12, pp. 2053-2064, 2008.
    • (2008) IEEE Transactions on Neural Networks , vol.19 , Issue.12 , pp. 2053-2064
    • Alippi, C.1    Roveri, M.2
  • 12
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    • Nonparametric monitoring of data streams for changes in location and scale
    • G. J. Ross, D. K. Tasoulis, and N. M. Adams, "Nonparametric monitoring of data streams for changes in location and scale", Technometrics, vol. 53, no. 4, pp. 379-389, 2011.
    • (2011) Technometrics , vol.53 , Issue.4 , pp. 379-389
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  • 14
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    • Ensembles of change-point methods to estimate the change point in residual sequences
    • C. Alippi, G. Boracchi, and M. Roveri, "Ensembles of change-point methods to estimate the change point in residual sequences", Soft Computing, vol. 17, no. 11, pp. 1971-1981, 2013.
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    • The impact of diversity on online ensemble learning in the presence of concept drift
    • L. L. Minku, A. P. White, and X. Yao, "The impact of diversity on online ensemble learning in the presence of concept drift", IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 5, pp. 730-742, 2010.
    • (2010) IEEE Transactions on Knowledge and Data Engineering , vol.22 , Issue.5 , pp. 730-742
    • Minku, L.L.1    White, A.P.2    Yao, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.