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Volumn 106, Issue 2, 1998, Pages

Worst-case analysis of the Perceptron and Exponentiated Update algorithms

Author keywords

Absolute loss bounds; Learning algorithms; Mistake bounds; Randomized classification algorithms

Indexed keywords

FUNCTIONS; LEARNING ALGORITHMS; NEURAL NETWORKS; RANDOM PROCESSES; VECTORS;

EID: 0032305711     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0004-3702(98)00098-8     Document Type: Article
Times cited : (7)

References (26)
  • 2
    • 0000430986 scopus 로고
    • The Perceptron: A model for brain functioning
    • H.D. Block, The Perceptron: a model for brain functioning, Reviews of Modern Physics 34 (1) (1962) 123-135.
    • (1962) Reviews of Modern Physics , vol.34 , Issue.1 , pp. 123-135
    • Block, H.D.1
  • 5
    • 0004458214 scopus 로고
    • Learning linear threshold approximations using Perceptrons
    • T. Bylander, Learning linear threshold approximations using Perceptrons, Neural Computation 7 (1995) 370-379.
    • (1995) Neural Computation , vol.7 , pp. 370-379
    • Bylander, T.1
  • 7
    • 0031346095 scopus 로고    scopus 로고
    • Worst-case absolute loss bounds for linear learning algorithms
    • Providence, RI
    • T. Bylander, Worst-case absolute loss bounds for linear learning algorithms, in: Proceedings AAAI-97, Providence, RI, 1997, pp. 485-490.
    • (1997) Proceedings AAAI-97 , pp. 485-490
    • Bylander, T.1
  • 9
    • 0030145382 scopus 로고    scopus 로고
    • Worst-case quadratic loss bounds for a generalization of the Widrow-Hoff rule
    • N. Cesa-Bianchi, P.M. Long, M.K. Warmuth, Worst-case quadratic loss bounds for a generalization of the Widrow-Hoff rule, IEEE Trans. Neural Networks 7 (1996) 604-619.
    • (1996) IEEE Trans. Neural Networks , vol.7 , pp. 604-619
    • Cesa-Bianchi, N.1    Long, P.M.2    Warmuth, M.K.3
  • 12
    • 0025449027 scopus 로고
    • Perceptron-based learning algorithms
    • S.I. Gallant, Perceptron-based learning algorithms, IEEE Trans. Neural Networks 1 (1990) 179-191.
    • (1990) IEEE Trans. Neural Networks , vol.1 , pp. 179-191
    • Gallant, S.I.1
  • 15
    • 84947403595 scopus 로고
    • Probability inequalities for sums of bounded variables
    • W. Hoeffding, Probability inequalities for sums of bounded variables, J. Amer. Statist. Assoc. 58 (1963) 13-30.
    • (1963) J. Amer. Statist. Assoc. , vol.58 , pp. 13-30
    • Hoeffding, W.1
  • 17
    • 0008815681 scopus 로고    scopus 로고
    • Exponentiated gradient versus gradient descent for linear predictors
    • J. Kivinen, M.K. Warmuth, Exponentiated gradient versus gradient descent for linear predictors, Information and Computation 132 (1997) 1-63.
    • (1997) Information and Computation , vol.132 , pp. 1-63
    • Kivinen, J.1    Warmuth, M.K.2
  • 18
    • 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 (1988) 285-318.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 26
    • 0026119038 scopus 로고
    • Symbolic and neural learning programs: An experimental comparison
    • J. Shavlik, R.J. Mooney, G. Towell, Symbolic and neural learning programs: an experimental comparison, Machine Learning 6 (1991) 111-143.
    • (1991) Machine Learning , vol.6 , pp. 111-143
    • Shavlik, J.1    Mooney, R.J.2    Towell, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.