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Volumn 55, Issue 3, 2004, Pages 271-309

How to better use expert advice

Author keywords

Learning from expert advice; Online learning; Online prediction

Indexed keywords

ENTROPY LOSSES; LEARNING FROM EXPERT ADVICE; ONLINE LEARNING; ONLINE PREDICTION;

EID: 3543088062     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:MACH.0000027784.72823.e4     Document Type: Article
Times cited : (20)

References (21)
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  • 9
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  • 10
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    • Universal portfolios
    • Cover, T. (1991.). Universal portfolios. Mathematical Finance, 1:1, 1-29.
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    • Cover, T.1
  • 11
    • 0024140258 scopus 로고
    • Learning probabilistic prediction functions
    • DeSantis, A., Markowsky, O., & Wegman, M. (1988). Learning probabilistic prediction functions. In FOCS (pp. 110-119).
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    • DeSantis, A.1    Markowsky, O.2    Wegman, M.3
  • 13
    • 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. Journal of Computer and System Sciences, 55:1, 119-139.
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  • 15
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    • Sequential prediction of individual sequences under general loss functions
    • Haussler, D., Kivinen, J., & Warmuth, M. (1998). Sequential prediction of individual sequences under general loss functions. IEEE Transactions on Information Theory, 44:5, 1906-1925.
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    • Haussler, D.1    Kivinen, J.2    Warmuth, M.3
  • 17
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    • Predicting nearly as well as the best pruning of a decision tree
    • Helmbold, D., & Schapire, R. (1995). Predicting nearly as well as the best pruning of a decision tree. In COLT.
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    • Helmbold, D.1    Schapire, R.2
  • 19
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    • Games against nature
    • R. Thrall, C. Coombs, & R. Davis (Eds.). New York and London: Wiley and Chapman & Hall
    • Milnor, J. (1954). Games against nature. In R. Thrall, C. Coombs, & R. Davis (Eds.), Decision Processes (pp. 49-60). New York and London: Wiley and Chapman & Hall.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.