메뉴 건너뛰기




Volumn , Issue , 2005, Pages 449-456

Using additive expert ensembles to cope with concept drift

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; EXPERT SYSTEMS; ONLINE SYSTEMS;

EID: 31844453033     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1102351.1102408     Document Type: Conference Paper
Times cited : (236)

References (16)
  • 1
    • 0030819669 scopus 로고    scopus 로고
    • Empirical support for winnow and weighted-mtajority algorithms
    • Blum, A. (1997). Empirical support for Winnow and Weighted-Majority algorithms. Machine Learning, 26, 5-23.
    • (1997) Machine Learning , vol.26 , pp. 5-23
    • Blum, A.1
  • 2
  • 4
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y., & Schapire, R. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. J. Computer and Sys. Sciences, 55, 119-139.
    • (1997) J. Computer and Sys. Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 5
    • 0032164946 scopus 로고    scopus 로고
    • Sequential predictions of individual sequences under general loss functions
    • Haussler, D., Kivinen, J., & Warmuth, M. (1998). Sequential predictions of individual sequences under general loss functions. IEEE Transactions on Information Theory, 44, 1906-1925.
    • (1998) IEEE Transactions on Information Theory , vol.44 , pp. 1906-1925
    • Haussler, D.1    Kivinen, J.2    Warmuth, M.3
  • 6
    • 0002896413 scopus 로고
    • Tracking drifting concepts by minimising disagreements
    • Helmbold, D. P., & Long, P. M. (1994). Tracking drifting concepts by minimising disagreements. Machine Learning, 14, 27-45.
    • (1994) Machine Learning , vol.14 , pp. 27-45
    • Helmbold, D.P.1    Long, P.M.2
  • 9
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • Littlestone, N. (1988). Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2, 285-318.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 12
    • 85018095293 scopus 로고
    • Beyond incremental processing: Tracking concept drift
    • AAAI Press
    • Schlimmer, J., & Granger, R. (1986). Beyond incremental processing: Tracking concept drift. Proceedings of the 5th AAAI Conference (pp. 502-507). AAAI Press.
    • (1986) Proceedings of the 5th AAAI Conference , pp. 502-507
    • Schlimmer, J.1    Granger, R.2
  • 13
    • 0035788947 scopus 로고    scopus 로고
    • A streaming ensemble algorithm (SEA) for large-scale classification
    • ACM Press
    • Street, W., & Kim, Y. (2001). A streaming ensemble algorithm (SEA) for large-scale classification. Proceedings of the 7th SIGKDD Conference (pp. 377-382). ACM Press.
    • (2001) Proceedings of the 7th SIGKDD Conference , pp. 377-382
    • Street, W.1    Kim, Y.2
  • 14
    • 85048665932 scopus 로고
    • Aggregating strategies
    • Morgan Kaufmann
    • Vovk, V. (1990). Aggregating strategies. Proceedings of the 3rd COLT Workshop (pp. 371-386). Morgan Kaufmann.
    • (1990) Proceedings of the 3rd COLT Workshop , pp. 371-386
    • Vovk, V.1
  • 15
    • 0032047115 scopus 로고    scopus 로고
    • A game of prediction with expert advice
    • Vovk, V. (1998). A game of prediction with expert advice. J. of Computer and System Sciences, 56, 153-173.
    • (1998) J. of Computer and System Sciences , vol.56 , pp. 153-173
    • Vovk, V.1
  • 16
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • Widmer, G., & Kubat, M. (1996). Learning in the presence of concept drift and hidden contexts. Machine Learning, 23, 69-101.
    • (1996) Machine Learning , vol.23 , pp. 69-101
    • Widmer, G.1    Kubat, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.