메뉴 건너뛰기




Volumn 4005 LNAI, Issue , 2006, Pages 423-437

Online learning meets optimization in the dual

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONSTRAINT THEORY; ONLINE SYSTEMS; OPTIMIZATION; PROBLEM SOLVING; THEOREM PROVING;

EID: 33746087078     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11776420_32     Document Type: Conference Paper
Times cited : (33)

References (16)
  • 1
    • 0035370926 scopus 로고    scopus 로고
    • Relative loss bounds for on-line density estimation with the exponential family of distributions
    • K. Azoury and M. Warmuth. Relative loss bounds for on-line density estimation with the exponential family of distributions. Machine Learning, 43(3):211-246, 2001.
    • (2001) Machine Learning , vol.43 , Issue.3 , pp. 211-246
    • Azoury, K.1    Warmuth, M.2
  • 7
    • 0344875562 scopus 로고    scopus 로고
    • The robustness of the p-norm algorithms
    • C. Gentile. The robustness of the p-norm algorithms. Machine Learning, 53(3), 2002.
    • (2002) Machine Learning , vol.53 , Issue.3
    • Gentile, C.1
  • 8
    • 0035370643 scopus 로고    scopus 로고
    • General convergence results for linear discriminant updates
    • A. J. Grove, N. Littlestone, and D. Schuurmans. General convergence results for linear discriminant updates. Machine Learning, 43(3):173-210, 2001.
    • (2001) Machine Learning , vol.43 , Issue.3 , pp. 173-210
    • Grove, A.J.1    Littlestone, N.2    Schuurmans, D.3
  • 10
    • 0008815681 scopus 로고    scopus 로고
    • Exponentiated gradient versus gradient descent for linear predictors
    • January
    • J. Kivinen and M. Warmuth. Exponentiated gradient versus gradient descent for linear predictors. Information and Computation, 132(1):1-64, January 1997.
    • (1997) Information and Computation , vol.132 , Issue.1 , pp. 1-64
    • Kivinen, J.1    Warmuth, M.2
  • 11
    • 0035575628 scopus 로고    scopus 로고
    • Relative loss bounds for multidimensional regression problems
    • July
    • J. Kivinen and M. Warmuth. Relative loss bounds for multidimensional regression problems. Journal of Machine Learning, 45(3):301-329, July 2001.
    • (2001) Journal of Machine Learning , vol.45 , Issue.3 , pp. 301-329
    • Kivinen, J.1    Warmuth, M.2
  • 12
    • 0036161258 scopus 로고    scopus 로고
    • The relaxed online maximum margin algorithm
    • Y. Li and P. M. Long. The relaxed online maximum margin algorithm. Machine Learning, 46(1-3):361-387, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 361-387
    • Li, Y.1    Long, P.M.2
  • 13
    • 34250091945 scopus 로고
    • Learning when irrelevant attributes abound: A new linear-threshold algorithm
    • N. Littiestone. Learning when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2:285-318, 1988.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littiestone, N.1
  • 15
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • F. Rosenblatt. The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65:386-407, 1958.
    • (1958) Psychological Review , vol.65 , pp. 386-407
    • Rosenblatt, F.1
  • 16
    • 0004159672 scopus 로고
    • Reprinted in MIT Press
    • (Reprinted in Neurocomputing (MIT Press, 1988).).
    • (1988) Neurocomputing


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.