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Volumn 904, Issue , 1995, Pages 23-37

A decision-theoretic generalization of on-line learning and an application to boosting

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; E-LEARNING; FORECASTING;

EID: 84983110889     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-59119-2_166     Document Type: Conference Paper
Times cited : (2818)

References (12)
  • 3
    • 84986753988 scopus 로고
    • Cover. Universal portfolios
    • Thomas M. Cover. Universal portfolios. Mathematics of Finance, 1(1):1-29, January 1991.
    • (1991) Mathematics of Finance , vol.1 , Issue.1 , pp. 1-29
    • Thomas, M.1
  • 6
    • 0003172399 scopus 로고    scopus 로고
    • Boosting a weak learning algorithm by majority
    • To appear
    • Yoav Freund. Boosting a weak learning algorithm by majority. Information and Computation, To appear.
    • Information and Computation
    • Freund, Y.1
  • 7
    • 0001976283 scopus 로고
    • Approximation to Bayes risk in repeated play
    • M. Dresher, A. W. Tucker, and P. Wolfe, editors, Princeton University Press
    • James Hannah. Approximation to Bayes risk in repeated play. In M. Dresher, A. W. Tucker, and P. Wolfe, editors, Contributions to the Theory of Games, volume III, pages 97-139. Princeton University Press, 1957.
    • (1957) Contributions to the Theory of Games, Volume III , pp. 97-139
    • Hannah, J.1
  • 11
    • 0025448521 scopus 로고
    • Schapire. The strength of weak leamability
    • Robert E. Schapire. The strength of weak leamability. Machine Learning, 5(2): 197-227, 1990.
    • (1990) Machine Learning , vol.5 , Issue.2 , pp. 197-227
    • Robert, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.