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Volumn 3, Issue 4-5, 2003, Pages 863-885

Stopping criterion for boosting-based data reduction techniques: from binary to multiclass problems

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONSTRAINT THEORY; DATA REDUCTION; LEARNING ALGORITHMS; PROBLEM SOLVING;

EID: 0141830857     PISSN: 15324435     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (32)

References (26)
  • 1
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    • Reducing multiclass to binary: A unifying approach for margin classifiers
    • Erin Allwein, Robert E. Schapire and Yoram Singer. Reducing multiclass to binary: a unifying approach for margin classifiers. Journal of Machine Learning Research, 1, 113-141, 2000.
    • (2000) Journal of Machine Learning Research , vol.1 , pp. 113-141
    • Allwein, E.1    Schapire, R.E.2    Singer, Y.3
  • 5
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • Thomas G. Dietterich and Ghulum Bakiri. Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research, 2, 263-286, 1995.
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 7
    • 0031211090 scopus 로고    scopus 로고
    • A decision theoretic generalization of online learning and an application to boosting
    • Yoav Freund and Robert E. Schapire. A decision theoretic generalization of online learning and an application to boosting. International Journal of Computer and System Sciences, 55(1), 119-139, 1997.
    • (1997) International Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 10
    • 0032355984 scopus 로고    scopus 로고
    • Classification by pairwise coupling
    • Trevor Hastie and Robert Tibshirani. Classification by pairwise coupling, The Annals of Statistics, 26(2), 451-471, 1998.
    • (1998) The Annals of Statistics , vol.26 , Issue.2 , pp. 451-471
    • Hastie, T.1    Tibshirani, R.2
  • 13
    • 0003408496 scopus 로고    scopus 로고
    • UCI repository of machine learning databases
    • Christopher J. Merz and Philip M. Murphy. UCI repository of machine learning databases, HTTP://WWW.ICS.UCI.EDU/MLEARN/MLREPOSITORY.HTML, 1996.
    • (1996)
    • Merz, C.J.1    Murphy, P.M.2
  • 15
    • 0035272502 scopus 로고    scopus 로고
    • An improved bound on the finite sample risk of the nearest neighbor rule
    • Richard Nock and Marc Sebban. An improved bound on the Finite Sample Risk of the Nearest Neighbor Rule. Pattern Recognition Letters, 22, 413-419, 2001b.
    • (2001) Pattern Recognition Letters , vol.22 , pp. 413-419
    • Nock, R.1    Sebban, M.2
  • 18
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • Robert E. Schapire, Yoav Freund, Peter L. Bartlett and Wee Sun Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. Annals of Statistics, 26, 1651-1686, 1998.
    • (1998) Annals of Statistics , vol.26 , pp. 1651-1686
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.L.3    Lee, W.S.4
  • 22
    • 0012657799 scopus 로고
    • Prototype and feature selection by sampling and random mutation hill climbing algorithms
    • Morgan Kaufmann
    • David Skalak. Prototype and feature selection by sampling and random mutation hill climbing algorithms. In Proceedings of the Eleventh International Conference on Machine Learning, pages 293-301, Morgan Kaufmann, 1994.
    • (1994) Proceedings of the Eleventh International Conference on Machine Learning , pp. 293-301
    • Skalak, D.1
  • 23
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    • The relative neighborhood graph of a finite planar set
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    • (1980) Pattern Recognition , vol.12 , pp. 261-268
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  • 26
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    • Reduction techniques for exemplar-based learning algorithms
    • Randall Wilson and Tony R. Martinez. Reduction techniques for exemplar-based learning algorithms. Machine Learning, 38, 257-286, 2000.
    • (2000) Machine Learning , vol.38 , pp. 257-286
    • Wilson, R.1    Martinez, T.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.