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Volumn 22, Issue 1-2, 1998, Pages 112-137

On Bayes methods for on-line Boolean prediction

Author keywords

Bayes theory; Boolean prediction; On line algorithms

Indexed keywords


EID: 0007228305     PISSN: 01784617     EISSN: None     Source Type: Journal    
DOI: 10.1007/PL00013825     Document Type: Article
Times cited : (7)

References (13)
  • 5
    • 0013445652 scopus 로고
    • How well does the Bayes method work in on-line predictions of {+1, -1} values?
    • SIAM, Philadelphia, PA
    • D. Haussler and A. Barron. How well does the Bayes method work in on-line predictions of {+1, -1} values? In Proceedings of 3rd NEC Symposium, pages 74-100. SIAM, Philadelphia, PA, 1993.
    • (1993) Proceedings of 3rd NEC Symposium , pp. 74-100
    • Haussler, D.1    Barron, A.2
  • 6
    • 84888195378 scopus 로고
    • Tight worst-case loss bounds for predicting with expert advice
    • Proceedings of the 2nd European Conference on Computational Learning Theory, Springer-Verlag, New York
    • D. Haussler, J. Kivinen, and M.K. Warmuth. Tight worst-case loss bounds for predicting with expert advice. In Proceedings of the 2nd European Conference on Computational Learning Theory, pages 69-83. Lecture Notes on Artificial Intelligence, Vol. 904. Springer-Verlag, New York, 1995.
    • (1995) Lecture Notes on Artificial Intelligence , vol.904 , pp. 69-83
    • Haussler, D.1    Kivinen, J.2    Warmuth, M.K.3
  • 7
    • 0002123243 scopus 로고
    • Using experts for predicting continuous outcomes
    • The Institute of Mathematics and Its Applications, Oxford
    • J. Kivinen and M.K. Warmuth. Using experts for predicting continuous outcomes. In Proceedings of the First Euro-COLT Workshop. The Institute of Mathematics and Its Applications, Oxford, 1994.
    • (1994) Proceedings of the First Euro-COLT Workshop
    • Kivinen, J.1    Warmuth, M.K.2
  • 8
    • 0005859018 scopus 로고    scopus 로고
    • Mistake-Driven Bayes Sports: Bounds for Symmetric Apobayesian Learning Algorithms
    • NEC Research Institute, Princeton, NJ
    • N. Littlestone. Mistake-Driven Bayes Sports: Bounds for Symmetric Apobayesian Learning Algorithms. Technical report, NEC Research Institute, Princeton, NJ, 1996.
    • (1996) Technical Report
    • Littlestone, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.