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Volumn 204, Issue , 2006, Pages 53-60

Bagged averaging of regression models

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EID: 33749143416     PISSN: 15715736     EISSN: None     Source Type: Book Series    
DOI: 10.1007/0-387-34224-9_7     Document Type: Article
Times cited : (20)

References (14)
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    • C.L. Blake, C.J. Merz, UCI Repository of machine learning databases. Irvine, CA: University of California, Department of Information and Computer Science (1998). [http://www.ics.uci.edu/~mlearn/ MLRepositorv.html]
    • (1998)
    • Blake, C.L.1    Merz, C.J.2
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging Predictors
    • L. Breiman, Bagging Predictors. Machine Learning, 24(3) (1996) 123-140.
    • (1996) Machine Learning , vol.24 , Issue.3 , pp. 123-140
    • Breiman, L.1
  • 3
    • 0030196364 scopus 로고    scopus 로고
    • Stacked Regression
    • L. Breiman, Stacked Regression. Machine Learning, 24 (1996):49-64.
    • (1996) Machine Learning , vol.24 , pp. 49-64
    • Breiman, L.1
  • 4
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • In Kittler, J., Roli, F., eds.: Springer
    • T.G. Dietterich, Ensemble methods in machine learning. In Kittler, J., Roli, F., eds.: Multiple Classifier Systems. LNCS Vol. 1857, Springer (2001) 1-15
    • (2001) Multiple Classifier Systems. LNCS , vol.1857 , pp. 1-15
    • Dietterich, T.G.1
  • 5
    • 0036568038 scopus 로고    scopus 로고
    • Boosting Methods for Regression
    • N. Duffy, D. Helmbold, Boosting Methods for Regression, Machine Learning, 47, (2002) 153-200.
    • (2002) Machine Learning , vol.47 , pp. 153-200
    • Duffy, N.1    Helmbold, D.2
  • 8
    • 3543107923 scopus 로고    scopus 로고
    • Bagging Equalizes Influence
    • Y. Grandvalet, Bagging Equalizes Influence, Machine Learning, Volume 55(3) (2004) 251-270.
    • (2004) Machine Learning , vol.55 , Issue.3 , pp. 251-270
    • Grandvalet, Y.1
  • 10
    • 0035575545 scopus 로고    scopus 로고
    • Efficient Construction of Regression Trees with Range and Region Splitting
    • Y. Morimoto, H. Ishii, S. Morishita, Efficient Construction of Regression Trees with Range and Region Splitting, Machine Learning, 45(3) (2001) 235-259.
    • (2001) Machine Learning , vol.45 , Issue.3 , pp. 235-259
    • Morimoto, Y.1    Ishii, H.2    Morishita, S.3
  • 11
    • 0000551189 scopus 로고    scopus 로고
    • Popular Ensemble Methods: An Empirical Study
    • Morgan Kaufmann
    • D. Opitz, R. Maclin, Popular Ensemble Methods: An Empirical Study, Artificial Intelligence Research, 11 (1999): 169-198, Morgan Kaufmann.
    • (1999) Artificial Intelligence Research , vol.11 , pp. 169-198
    • Opitz, D.1    Maclin, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.