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Volumn 2006, Issue , 2006, Pages 748-753

Semi-supervised time series classification

Author keywords

Classification; Semi supervised Learning; Time Series

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DATA STRUCTURES; ELECTROCARDIOGRAPHY; PROBLEM SOLVING; TIME SERIES ANALYSIS;

EID: 33749571730     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1150402.1150498     Document Type: Conference Paper
Times cited : (253)

References (20)
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    • December 2004
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    • Cohen, I.1    Cozman, F.G.2    Sebe, N.3    Cirelo, M.C.4    Huang, T.5
  • 7
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    • PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals
    • 2000
    • Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P., Mark, R., Mietus, J., Moody, G., Peng, C., & He, S. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23): pp. 215-220, 2000.
    • (2000) Circulation , vol.101 , Issue.23 , pp. 215-220
    • Goldberger, A.1    Amaral, L.2    Glass, L.3    Hausdorff, J.4    Ivanov, P.5    Mark, R.6    Mietus, J.7    Moody, G.8    Peng, C.9    He, S.10
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    • Nigam, K., Mccallum, A. K., Thrun, S., & Mitchell, T. (2000). Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3), pp. 103 -134, 2000.
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    • Everything you know about dynamic time warping is wrong
    • in conjunction with the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 22-25, 2004
    • Ratanamahatana, C. A. & Keogh. E. (2004). Everything you know about Dynamic Time Warping is wrong. In proceedings of the Third Workshop on Mining Temporal and Sequential Data, in conjunction with the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 22-25, 2004.
    • (2004) Proceedings of the Third Workshop on Mining Temporal and Sequential Data
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    • Wei, L. (2006). http://www.cs.ucr.edu/~wli/selfTraining/
    • (2006)
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  • 20
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    • Semi-supervised learning literature survey
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    • Zhu, X. (2005). Semi-supervised learning literature survey. Technical report, no. 1530, Computer Sciences, University of Wisconsin-Madison, 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.