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Volumn , Issue , 2001, Pages

Some new bounds on the generalization error of combined classifiers

Author keywords

[No Author keywords available]

Indexed keywords

COMBINED CLASSIFIERS; EMPIRICAL PROCESS; FUNCTIONAL CLASS; GAUSSIAN COMPLEXITY; GAUSSIANS; GENERALIZATION ERROR; MARGIN DISTRIBUTIONS;

EID: 0006505290     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (11)
  • 1
    • 0032028728 scopus 로고    scopus 로고
    • The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network
    • Bartlett, P. (1998) The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network. IEEE Transactions on Information Theory, 44, 525-536.
    • (1998) IEEE Transactions on Information Theory , vol.44 , pp. 525-536
    • Bartlett, P.1
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996). Bagging Predictors. Machine Learning, 26(2), 123-140.
    • (1996) Machine Learning , vol.26 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 3
    • 58149321460 scopus 로고
    • Boosting a weak learning algorithm by majority
    • Freund Y. (1995) Boosting a weak learning algorithm by majority. Information and Computation, 121, 2, 256-285.
    • (1995) Information and Computation , vol.121 , Issue.2 , pp. 256-285
    • Freund, Y.1
  • 4
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund Y. and Schapire, R.E. (1997) A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1), 119-139.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 6
    • 18444414920 scopus 로고    scopus 로고
    • Improved generalization through explicit optimization of margins
    • Mason, L., Bartlett, P. and Baxter, J. (1999) Improved Generalization through Explicit Optimization of Margins. Machine Learning, 0, 1-11.
    • (1999) Machine Learning , pp. 1-11
    • Mason, L.1    Bartlett, P.2    Baxter, J.3
  • 7
    • 0002550596 scopus 로고    scopus 로고
    • Functional gradient techniques for combining hypotheses
    • Smola, Bartlett, Scholkopf and Schnurmans (Eds), to appear
    • Mason, L., Baxter, J., Bartlett, P. and Frean, M. (1999) Functional Gradient Techniques for Combining Hypotheses. In: Advances in Large Margin Classifiers. Smola, Bartlett, Scholkopf and Schnurmans (Eds), to appear.
    • (1999) Advances in Large Margin Classifiers
    • Mason, L.1    Baxter, J.2    Bartlett, P.3    Frean, M.4
  • 8
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation of effectiveness of voting methods
    • Schapire, R., Freund, Y, Bartlett, P. and Lee, W. S. (1998) Boosting the Margin: A New Explanation of Effectiveness of Voting Methods. Ann. Statist., 26, 1651-1687.
    • (1998) Ann. Statist. , vol.26 , pp. 1651-1687
    • Schapire, R.1    Freund, Y.2    Bartlett, P.3    Lee, W.S.4
  • 10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.