메뉴 건너뛰기




Volumn 7, Issue 3, 1996, Pages 604-619

Worst-case quadratic loss bounds for prediction using linear functions and gradient descent

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERRORS; LEARNING SYSTEMS; MATHEMATICAL MODELS; ONLINE SYSTEMS; PERFORMANCE; PROBLEM SOLVING;

EID: 0030145382     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.501719     Document Type: Article
Times cited : (139)

References (30)
  • 1
    • 0000710299 scopus 로고
    • Queries and concept learning
    • D. Angluin, "Queries and concept learning," Machine Learning, vol. 2, pp. 319-342, 1988.
    • (1988) Machine Learning , vol.2 , pp. 319-342
    • Angluin, D.1
  • 2
    • 0027599793 scopus 로고
    • Universal approximation bounds for superpositions of a sigmoidal function
    • A. Barron, "Universal approximation bounds for superpositions of a sigmoidal function," IEEE Trans. Inform. Theory, vol. 39, pp. 930-945, 1993.
    • (1993) IEEE Trans. Inform. Theory , vol.39 , pp. 930-945
    • Barron, A.1
  • 4
    • 0000582742 scopus 로고
    • Statistical theory: The prequential approach
    • A. Dawid, "Statistical theory: The prequential approach," J. Roy. Statist. Soc. A, pp. 278-292, 1984.
    • (1984) J. Roy. Statist. Soc. A , pp. 278-292
    • Dawid, A.1
  • 6
    • 0039374072 scopus 로고
    • Applications of learning theorems
    • V. Faber and J. Mycielski, "Applications of learning theorems," Fundamenta Informaticae, vol. 15, no. 2, pp. 145-167, 1991.
    • (1991) Fundamenta Informaticae , vol.15 , Issue.2 , pp. 145-167
    • Faber, V.1    Mycielski, J.2
  • 7
    • 84882281845 scopus 로고
    • Universal prediction of individual sequences
    • M. Feder, N. Merhav, and M. Gutman, "Universal prediction of individual sequences," IEEE Trans. Inform. Theory, vol. 38, pp. 1258-1270, 1992.
    • (1992) IEEE Trans. Inform. Theory , vol.38 , pp. 1258-1270
    • Feder, M.1    Merhav, N.2    Gutman, M.3
  • 12
    • 0026119463 scopus 로고
    • Robust stability analysis of adaptation algorithms for single perceptron
    • S. Hui and S. H. Zak, "Robust stability analysis of adaptation algorithms for single perceptron," IEEE Trans. Neural Networks, vol. 2, pp. 325-328, 1991.
    • (1991) IEEE Trans. Neural Networks , vol.2 , pp. 325-328
    • Hui, S.1    Zak, S.H.2
  • 13
    • 0001554939 scopus 로고
    • Angenaherte Auflösung von systemen linearer gleichungen
    • S. Kaczmarz, "Angenaherte Auflösung von systemen linearer gleichungen," Bull. Acad. Polon. Sci. Lett. A, vol. 35, pp. 355-357, 1937.
    • (1937) Bull. Acad. Polon. Sci. Lett. A , vol.35 , pp. 355-357
    • Kaczmarz, S.1
  • 14
    • 0026995315 scopus 로고
    • The learning complexity of smooth functions of a single variable
    • D. Kimber and P. M. Long, "The learning complexity of smooth functions of a single variable," in Proc. 1992 Wkshp. Computa. Learning Theory, pp. 153-159, 1992.
    • (1992) Proc. 1992 Wkshp. Computa. Learning Theory , pp. 153-159
    • Kimber, D.1    Long, P.M.2
  • 16
    • 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, vol. 2, no. 4, pp. 285-318, 1988.
    • (1988) Machine Learning , vol.2 , Issue.4 , pp. 285-318
    • Littlestone, N.1
  • 17
    • 0003869088 scopus 로고
    • Mistake Bounds and Logarithmic Linear-threshold Learning Algorithms
    • Ph.D. dissertation, Univ. California Santa Cruz
    • _, Mistake Bounds and Logarithmic Linear-threshold Learning Algorithms, Ph.D. dissertation, Univ. California Santa Cruz, Tech. Rep. UCSC-CRL-89-11, 1989.
    • (1989) Tech. Rep. UCSC-CRL-89-11
  • 19
    • 36348996543 scopus 로고
    • Techniques of adaptive equalization of digital communication systems
    • R. W. Lucky, "Techniques of adaptive equalization of digital communication systems," Bell Syst. Tech. J., vol. 45, pp. 255-286, 1966.
    • (1966) Bell Syst. Tech. J. , vol.45 , pp. 255-286
    • Lucky, R.W.1
  • 21
    • 0024766543 scopus 로고
    • The weighted majority algorithm
    • Univ. California Santa Cruz, Tech. Rep. UCSC-CRL-91-28, Oct. A preliminary version appeared October 89
    • N. Littlestone and M. K. Warmuth, "The weighted majority algorithm," Univ. California Santa Cruz, Tech. Rep. UCSC-CRL-91-28, Oct. 1991. A preliminary version appeared in the Proc. 30th Annu. IEEE Symp. Foundations Comput. Sci., October 89, pp. 256-261.
    • (1991) Proc. 30th Annu. IEEE Symp. Foundations Comput. Sci. , pp. 256-261
    • Littlestone, N.1    Warmuth, M.K.2
  • 22
    • 0026978928 scopus 로고    scopus 로고
    • Universal sequential learning and decision from individual data sequences
    • N. Merhav and M. Feder, "Universal sequential learning and decision from individual data sequences," in Proc. 1992 Wkshp. Computa. Learning Theory, pp. 413-427.
    • Proc. 1992 Wkshp. Computa. Learning Theory , pp. 413-427
    • Merhav, N.1    Feder, M.2
  • 24
    • 84966201117 scopus 로고
    • A learning algorithm for linear operators
    • J. Mycielski, "A learning algorithm for linear operators," in Proc. Amer. Math. Soc., vol. 103, no. 2, pp. 547-550, 1988.
    • (1988) Proc. Amer. Math. Soc. , vol.103 , Issue.2 , pp. 547-550
    • Mycielski, J.1
  • 25
    • 0005440949 scopus 로고
    • An adaptive echo canceller
    • M. M. Sondhi, "An adaptive echo canceller," Bell Syst. Tech. J., vol. 46, pp. 497-511, 1967.
    • (1967) Bell Syst. Tech. J. , vol.46 , pp. 497-511
    • Sondhi, M.M.1
  • 26
    • 0019049272 scopus 로고
    • Silencing echoes in the telephone network
    • M. M. Sondhi and D. A. Berkley, "Silencing echoes in the telephone network," Proc. IEEE, vol. 68, pp. 948-963, 1980.
    • (1980) Proc. IEEE , vol.68 , pp. 948-963
    • Sondhi, M.M.1    Berkley, D.A.2
  • 27
    • 85048665932 scopus 로고
    • Aggregating strategies
    • San Mateo, CA: Morgan Kaufmann
    • V. Vovk, "Aggregating strategies," in Proc. 3rd Wkshp. Computa. Learning Theory. San Mateo, CA: Morgan Kaufmann, pp. 371-383. 1990.
    • (1990) Proc. 3rd Wkshp. Computa. Learning Theory , pp. 371-383
    • Vovk, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.