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Volumn 5519 LNCS, Issue , 2009, Pages 22-31

Comparison of bagging and boosting algorithms on sample and feature weighting

Author keywords

[No Author keywords available]

Indexed keywords

BOOSTING ALGORITHM; BOOSTING METHOD; FEATURE WEIGHTING; FEATURE-BASED; FUSION METHODS;

EID: 70349327713     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02326-2_3     Document Type: Conference Paper
Times cited : (5)

References (13)
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    • Bagging predictors
    • Breiman, L.: Bagging predictors. Machine Learning Journal 2 24, 123-140 (1996)
    • (1996) Machine Learning Journal , vol.2 , Issue.24 , pp. 123-140
    • Breiman, L.1
  • 4
    • 21744462998 scopus 로고    scopus 로고
    • On Bias, Variance, 0/1-Loss, and the Curse-of- Dimensionality
    • Friedman, J.: On Bias, Variance, 0/1-Loss, and the Curse-of- Dimensionality. Data Mining and Knowledge Discovery 1, 55-77 (1997)
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 55-77
    • Friedman, J.1
  • 5
    • 0037235971 scopus 로고    scopus 로고
    • On the relationship between majority vote accuracy and dependency in multiple classifier systems
    • Oh, S.: On the relationship between majority vote accuracy and dependency in multiple classifier systems. Pattern Recognition Letters 24, 359-363 (2003)
    • (2003) Pattern Recognition Letters , vol.24 , pp. 359-363
    • Oh, S.1
  • 6
    • 70349315722 scopus 로고    scopus 로고
    • Analysis of Improvement Effect for Generalization Error of Ensemble Estimators. IEICE technical report
    • in Japanese
    • Ueda, N., Nakano, R.: Analysis of Improvement Effect for Generalization Error of Ensemble Estimators. IEICE technical report. Neurocomputing 95, 107-114 (1996) (in Japanese)
    • (1996) Neurocomputing , vol.95 , pp. 107-114
    • Ueda, N.1    Nakano, R.2
  • 7
    • 0036080160 scopus 로고    scopus 로고
    • Bagging, boosting and the random subspace method for linear classifiers
    • Skurichina, M., Duin, R.: Bagging, boosting and the random subspace method for linear classifiers. Pattern Analysis and Applications 5, 121-135 (2002)
    • (2002) Pattern Analysis and Applications , vol.5 , pp. 121-135
    • Skurichina, M.1    Duin, R.2
  • 8
    • 58349119392 scopus 로고    scopus 로고
    • Bagging, Random Subspace Method and Biding
    • Springer, Heidelberg
    • Shirai, S., Kudo, M., Nakamura, A.: Bagging, Random Subspace Method and Biding. LNCS, vol. 5342, pp. 801-810. Springer, Heidelberg (2008)
    • (2008) LNCS , vol.5342 , pp. 801-810
    • Shirai, S.1    Kudo, M.2    Nakamura, A.3
  • 9
    • 0036896235 scopus 로고    scopus 로고
    • An Experimental Study on Diversity for Bagging and Boosting with Linear Classifiers
    • Skurichina, L., Kuncheva, L.: An Experimental Study on Diversity for Bagging and Boosting with Linear Classifiers. Information Fusion 3, 245-258 (2002)
    • (2002) Information Fusion , vol.3 , pp. 245-258
    • Skurichina, L.1    Kuncheva, L.2
  • 12
    • 27244449186 scopus 로고    scopus 로고
    • Boosting Feature Selection
    • Springer, Heidelberg
    • Redpadth, D.B., Levart, K.: Boosting Feature Selection. LNCS, vol. 3086, pp. 305- 314. Springer, Heidelberg (2005)
    • (2005) LNCS , vol.3086 , pp. 305-314
    • Redpadth, D.B.1    Levart, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.