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Volumn 34, Issue 4, 2004, Pages 393-397

Using all data to generate decision tree ensembles

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; ERROR ANALYSIS; ITERATIVE METHODS; LEARNING ALGORITHMS; PATTERN RECOGNITION; TREES (MATHEMATICS);

EID: 7744225370     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2004.833295     Document Type: Article
Times cited : (20)

References (17)
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  • 2
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    • An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
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    • Bauer, E.1    Kohavi, R.2
  • 3
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    • Arcing classifiers
    • L. Breiman, "Arcing classifiers," [i Annals Statistics i], vol. 26, no. 3, pp. 801-849, 1998.
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    • Breiman, L.1
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, "Bagging predictors," [i Mach. Learn. i], vol. 24, no. 2, pp. 123-140, 1996.
    • (1996) Mach. Learn. , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 5
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision frees: Bagging, boosting, and randomization
    • T. G. Dietterich, "An experimental comparison of three methods for constructing ensembles of decision frees: Bagging, boosting, and randomization," [i Mach. Learn. i], vol. 40, no. 2, pp. 139-157, 2000.
    • (2000) Mach. Learn. , vol.40 , Issue.2 , pp. 139-157
    • Dietterich, T.G.1
  • 6
    • 0031361611 scopus 로고    scopus 로고
    • Machine-learning research: Four current directions
    • T. G. Dietterich, "Machine-learning research: four current directions," [i AI Mag. i], vol. 18, no. 4, pp. 97-136, 1998.
    • (1998) AI Mag. , vol.18 , Issue.4 , pp. 97-136
    • Dietterich, T.G.1
  • 8
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee, "Boosting the margin: a new explanation for the effectiveness of voting methods," [i Annals Statistics i], vol. 12, no. 5, pp. 1651-1686, 1998.
    • (1998) Annals Statistics , vol.12 , Issue.5 , pp. 1651-1686
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.3    Lee, W.S.4
  • 9
    • 84983110889 scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R. E. Schapire, "A decision-theoretic generalization of on-line learning and an application to boosting," in [i Proc. European Conf. Computational Learning Theory i], 1995, pp. 23-37.
    • (1995) Proc. European Conf. Computational Learning Theory , pp. 23-37
    • Freund, Y.1    Schapire, R.E.2
  • 10
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    • Solving multiclass learning problems via errorcorrecting output codes
    • T. G. Dietterich, "Solving multiclass learning problems via errorcorrecting output codes," [i J. Artif. Intell. i], pp. 263-286, 1997.
    • (1997) J. Artif. Intell. , pp. 263-286
    • Dietterich, T.G.1
  • 11
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    • Using output codes to boost multiclass learning problems
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    • Schapire, R.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.