메뉴 건너뛰기




Volumn 59, Issue 3, 1999, Pages 392-411

Analysis of two gradient-based algorithms for on-line regression

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FORMAL LOGIC; PROBLEM SOLVING; TRANSFER FUNCTIONS;

EID: 0033285751     PISSN: 00220000     EISSN: None     Source Type: Journal    
DOI: 10.1006/jcss.1999.1635     Document Type: Article
Times cited : (46)

References (23)
  • 3
    • 0030145382 scopus 로고    scopus 로고
    • Worst-case quadratic loss bounds for prediction using linear functions and gradient descent
    • Cesa-Bianchi N., Long P. M., Warmuth M. K. Worst-case quadratic loss bounds for prediction using linear functions and gradient descent. 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
  • 9
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the PAC model for neural net and other learning applications
    • Haussler D. Decision theoretic generalizations of the PAC model for neural net and other learning applications. Inform. and Comput. 100:1992;78-150.
    • (1992) Inform. and Comput. , vol.100 , pp. 78-150
    • Haussler, D.1
  • 11
    • 84947403595 scopus 로고
    • Probability inequalities for sums of bounded random variables
    • Hoeffding W. Probability inequalities for sums of bounded random variables. J. Amer. Statist. Assoc. 58:1963;13-30.
    • (1963) J. Amer. Statist. Assoc. , vol.58 , pp. 13-30
    • Hoeffding, W.1
  • 12
    • 0008815681 scopus 로고    scopus 로고
    • Exponentiated gradient versus gradient descent for linear predictors
    • Kivinen J., Warmuth M. K. Exponentiated gradient versus gradient descent for linear predictors. Inform. and Comput. 132:1997;1-63.
    • (1997) Inform. and Comput. , vol.132 , pp. 1-63
    • Kivinen, J.1    Warmuth, M.K.2
  • 14
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear threshold algorithm
    • Littlestone N. Learning quickly when irrelevant attributes abound: A new linear threshold algorithm. Mach. Learning. 2:1988;285-318.
    • (1988) Mach. Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 23
    • 0032121805 scopus 로고    scopus 로고
    • A decision-theoretic extension of stochastic complexity and its application to learning
    • Yamanishi K. A decision-theoretic extension of stochastic complexity and its application to learning. IEEE Trans. Inform. Theory. 44:1998;1424-1440.
    • (1998) IEEE Trans. Inform. Theory , vol.44 , pp. 1424-1440
    • Yamanishi, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.