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Volumn 59, Issue 3-4, 2001, Pages 141-156

Performance evaluation of Bagging and Boosting in nonparametric regression

Author keywords

Bagging; Boosting; Nonparametric regression; Prediction error; Projection pursuit regression; Pruning

Indexed keywords


EID: 60449120081     PISSN: 00261424     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (22)
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  • 2
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    • (2001) Advances in Classification and Data Analysis
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  • 3
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    • Bagging predictors
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    • Breiman, L.1
  • 4
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    • Breiman, L. (1998a) Arcing Classifier, discussion paper, Annals of Statistics, 26:801-824.
    • (1998) Annals of Statistics , vol.26 , pp. 801-824
    • Breiman, L.1
  • 5
    • 0003479038 scopus 로고    scopus 로고
    • Technical Report n. 534, Statistics Department, University of California, Berkeley
    • Breiman, L. (1998b) Half and half bagging and hard boundary points, Technical Report n. 534, Statistics Department, University of California, Berkeley.
    • (1998) Half and Half Bagging and Hard Boundary Points
    • Breiman, L.1
  • 6
    • 0003856278 scopus 로고    scopus 로고
    • Technical Report n. 547, Statistics Department, University of California, Berkeley
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    • (1999) Using Adaptive Bagging to Debias Regressions
    • Breiman, L.1
  • 8
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    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freunde, Y. and Schapire, R. (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
    • Freunde, Y.1    Schapire, R.2
  • 16
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  • 22
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    • Training methods for adaptive boosting of neural networks for charater recognition
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.