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Volumn , Issue , 1998, Pages 287-293

Relative loss bounds for multidimensional regression problems

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS;

EID: 0008969040     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (27)

References (12)
  • 2
    • 85156194133 scopus 로고
    • Exponentially many local minima for single neurons
    • AHW95, MIT Press, Cambridge, MA, November
    • [AHW95] P. Auer, M. Herbster, and M. K. Warmuth. Exponentially many local minima for single neurons. In Proc. 1995 Neural Information Processing Conference, pages 316-317. MIT Press, Cambridge, MA, November 1995.
    • (1995) Proc. 1995 Neural Information Processing Conference , pp. 316-317
    • Auer, P.1    Herbster, M.2    Warmuth, M.K.3
  • 4
    • 21144459162 scopus 로고
    • Some notes on perceptron learning
    • Bud93
    • [Bud93] M. Budinich. Some notes on perceptron learning. J. Phys. A.: Math. Gen., 26:4237-4247, 1993.
    • (1993) J. Phys. A.: Math. Gen. , vol.26 , pp. 4237-4247
    • Budinich, M.1
  • 5
    • 0030719215 scopus 로고    scopus 로고
    • Analysis of two gradient-based algorithms for on-line regression
    • CB97, ACM
    • [CB97] N. Cesa-Bianchi. Analysis of two gradient-based algorithms for on-line regression. In Proc. 10th Annu. Conf. on Comput. Learning Theory, pages 163-170. ACM, 1997.
    • (1997) Proc. 10th Annu. Conf. on Comput. Learning Theory , pp. 163-170
    • Cesa-Bianchi, N.1
  • 6
    • 0000349751 scopus 로고
    • Prediction in the worst case
    • Fos91
    • [Fos91] D. P. Foster. Prediction in the worst case. The Annals of Statistics, 19(2): 1084- 1090, 1991.
    • (1991) The Annals of Statistics , vol.19 , Issue.2 , pp. 1084-1090
    • Foster, D.P.1
  • 9
    • 0008969948 scopus 로고    scopus 로고
    • Continuous versus discrete-time nonlinear gradient descent: Relative loss bounds and convergence
    • JW98, Presented at, Ft. Lauderdale, FL
    • [JW98] A. K. Jagota and M. K. Warmuth. Continuous versus discrete-time nonlinear gradient descent: Relative loss bounds and convergence. Presented at Fifth Symposium on Artificial Intelligence and Mathematics, Ft. Lauderdale, FL, 1998.
    • (1998) Fifth Symposium on Artificial Intelligence and Mathematics
    • Jagota, A.K.1    Warmuth, M.K.2
  • 10
    • 0008815681 scopus 로고    scopus 로고
    • Additive versus exponentiated gradient updates for linear prediction
    • KW97, January
    • [KW97] J. Kivinen and M. K. Warmuth. Additive versus exponentiated gradient updates for linear prediction. 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.K.2
  • 12
    • 84898975254 scopus 로고    scopus 로고
    • Competitive on-line linear regression
    • Vov97, MIT Press, Cambridge, MA
    • [Vov97] V. Vovk. Competitive on-line linear regression. In Proc. Neural Information Processing Systems 1997. MIT Press, Cambridge, MA, 1998.
    • (1998) Proc. Neural Information Processing Systems 1997
    • Vovk, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.