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Volumn 132, Issue 1, 1997, Pages 1-63

Exponentiated Gradient versus Gradient Descent for Linear Predictors

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0008815681     PISSN: 08905401     EISSN: None     Source Type: Journal    
DOI: 10.1006/inco.1996.2612     Document Type: Article
Times cited : (751)

References (30)
  • 2
    • 0002319152 scopus 로고
    • The EM algorithm and information geometry in neural network learning
    • Amari, S. (1995), The EM algorithm and information geometry in neural network learning, Neural Comput. 7, 13-18.
    • (1995) Neural Comput. , vol.7 , pp. 13-18
    • Amari, S.1
  • 5
    • 0030145382 scopus 로고    scopus 로고
    • Worst-case quadratic loss bounds for on-line prediction of linear functions by gradient descent
    • Cesa-Bianchi, N., Long, P., and Warmuth, M. K. (1996), Worst-case quadratic loss bounds for on-line prediction of linear functions by gradient descent, IEEE Trans. Neural Networks 7, 604-619.
    • (1996) IEEE Trans. Neural Networks , vol.7 , pp. 604-619
    • Cesa-Bianchi, N.1    Long, P.2    Warmuth, M.K.3
  • 7
  • 8
    • 0004164392 scopus 로고
    • Tight Worst-Case loss bounds for Predicting with Expert Advice
    • Technical Report UCSC-CRL-94-36, Univ. California, Santa Cruz, Computer Research Laboratory. Partial results appeared Clarendon Press, Oxford
    • Haussler, D., Kivinen, J., and Warmuth, M. K. (1994), "Tight Worst-Case loss bounds for Predicting with Expert Advice," Technical Report UCSC-CRL-94-36, Univ. California, Santa Cruz, Computer Research Laboratory. Partial results appeared in "EuroCOLT '93," pp. 109-120, Clarendon Press, Oxford, and in "EuroCOLT '95," pp. 69-83, Springer, Berlin. To appear in IEEE Transactions on Information Theory.
    • (1994) EuroCOLT '93 , pp. 109-120
    • Haussler, D.1    Kivinen, J.2    Warmuth, M.K.3
  • 9
    • 85030045874 scopus 로고    scopus 로고
    • EuroCOLT '95
    • Springer, Berlin. To appear
    • Haussler, D., Kivinen, J., and Warmuth, M. K. (1994), "Tight Worst-Case loss bounds for Predicting with Expert Advice," Technical Report UCSC-CRL-94-36, Univ. California, Santa Cruz, Computer Research Laboratory. Partial results appeared in "EuroCOLT '93," pp. 109-120, Clarendon Press, Oxford, and in "EuroCOLT '95," pp. 69-83, Springer, Berlin. To appear in IEEE Transactions on Information Theory.
    • IEEE Transactions on Information Theory , pp. 69-83
  • 13
    • 85030049790 scopus 로고    scopus 로고
    • A comparison of new and old algorithms for a mixture estimation problem
    • to appear
    • Helmbold, D. P., Schapire, R. E., Singer, Y., and Warmuth, M. K. (1996b), A comparison of new and old algorithms for a mixture estimation problem, Mach. Learning, to appear.
    • (1996) Mach. Learning
    • Helmbold, D.P.1    Schapire, R.E.2    Singer, Y.3    Warmuth, M.K.4
  • 20
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • Littlestone, N. (1988), Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm, Mach. Learning 2, 285-318.
    • (1988) Mach. Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 22
  • 23
    • 0000511449 scopus 로고
    • Redundant noisy attributes, attribute errors, and linear threshold learning using Winnow
    • Morgan Kaufmann, San Mateo, CA
    • Littlestone, N. (1991), Redundant noisy attributes, attribute errors, and linear threshold learning using Winnow, in "Proceedings, 4th Annual Workshop on Computational Learning Theory," pp. 147-156, Morgan Kaufmann, San Mateo, CA.
    • (1991) Proceedings, 4th Annual Workshop on Computational Learning Theory , pp. 147-156
    • Littlestone, N.1
  • 27
  • 28
    • 0008815095 scopus 로고
    • On the worst-case analysis of temporal-difference learing algorithms
    • Morgan Kaufmann, San Francisco; Mach. Learning, to appear
    • Schapire, R. E., and Warmuth, M. K. (1994), On the worst-case analysis of temporal-difference learing algorithms, in "Proceedings, 11th International Conference on Machine Learning," pp. 266-274, Morgan Kaufmann, San Francisco; Mach. Learning, to appear.
    • (1994) Proceedings, 11th International Conference on Machine Learning , pp. 266-274
    • Schapire, R.E.1    Warmuth, M.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.