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Volumn , Issue , 2009, Pages

Agnostic online learning

Author keywords

[No Author keywords available]

Indexed keywords

CONFIDENCE VALUES; LINEAR SEPARATORS; ONLINE LEARNING; ONLINE MODELING; ONLINE PREDICTION; PAC LEARNING MODEL; SAMPLE COMPLEXITY; UPPER AND LOWER BOUNDS;

EID: 84898071205     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (192)

References (16)
  • 1
    • 84972545864 scopus 로고
    • An analog of the minimax theorem for vector payoffs
    • Spring
    • D. Blackwell. An analog of the minimax theorem for vector payoffs. Pacific Journal of Mathematics, 6(1): 1-8, Spring 1956.
    • (1956) Pacific Journal of Mathematics , vol.6 , Issue.1 , pp. 1-8
    • Blackwell, D.1
  • 5
    • 0017503437 scopus 로고
    • Compound bayes predictors for sequences with apparent Markov structure
    • June
    • T.M. Cover and A. Shenhar. Compound Bayes predictors for sequences with apparent Markov structure. IEEE Transactions on Systems, Man, and Cybernetics, SMC-7(6): 421-424, June 1977.
    • (1977) IEEE Transactions on Systems, Man, and Cybernetics , vol.SMC-7 , Issue.6 , pp. 421-424
    • Cover, T.M.1    Shenhar, A.2
  • 7
    • 0348229334 scopus 로고    scopus 로고
    • Optimal mistake bound learning is hard
    • M. Frances and A. Litman. Optimal mistake bound learning is hard. Inf. Comput, 144(1): 66-82, 1998.
    • (1998) Inf. Comput , vol.144 , Issue.1 , pp. 66-82
    • Frances, M.1    Litman, A.2
  • 8
    • 0001976283 scopus 로고
    • Approximation to bayes risk in repeated play
    • M. Dresher, A. W. Tucker, and P. Wolfe, editors Princeton University Press
    • J. Hannan. 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 , vol.3 , pp. 97-139
    • Hannan, J.1
  • 9
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the PAC model for neural net and other learning applications
    • D. Haussler. Decision theoretic generalizations of the PAC model for neural net and other learning applications. Information and Computation, 100(1): 78-150, 1992.
    • (1992) Information and Computation , vol.100 , Issue.1 , pp. 78-150
    • Haussler, D.1
  • 10
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • N. Littlestone. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2: 285-318, 1988.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 14
    • 0021518106 scopus 로고
    • A theory of the learnable
    • November
    • L. G. Valiant. A theory of the learnable. Communications of the ACM, 27(11): 1134-1142, November 1984.
    • (1984) Communications of the ACM , vol.27 , Issue.11 , pp. 1134-1142
    • Valiant, L.G.1
  • 15
    • 0035443342 scopus 로고    scopus 로고
    • Universal prediction of binary individual sequences in the presence of noise
    • T. Weissman and N. Merhav. Universal prediction of binary individual sequences in the presence of noise. IEEE Trans. Inform. Theory, 47(6): 2151-2173, 2001.
    • (2001) IEEE Trans. Inform. Theory , vol.47 , Issue.6 , pp. 2151-2173
    • Weissman, T.1    Merhav, N.2
  • 16
    • 0035397523 scopus 로고    scopus 로고
    • Twofold universal prediction schemes for achieving the finite state predictability of a noisy individual binary sequence
    • T. Weissman, N. Merhav, and A. Somekh-Baruch. Twofold universal prediction schemes for achieving the finite state predictability of a noisy individual binary sequence. IEEE Trans. Inform. Theory, 47(5): 1849-1866, 2001.
    • (2001) IEEE Trans. Inform. Theory , vol.47 , Issue.5 , pp. 1849-1866
    • Weissman, T.1    Merhav, N.2    Somekh-Baruch, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.