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Volumn , Issue , 2013, Pages

Understanding variable importances in Forests of randomized trees

Author keywords

[No Author keywords available]

Indexed keywords

DEGREE OF INTERACTION; INPUT VARIABLES; INTERACTION TERM; IRRELEVANT VARIABLES; RANDOMIZED TREES; THEORETICAL POINTS; TREE-BASED ENSEMBLES; VARIABLE IMPORTANCES;

EID: 84898857912     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (851)

References (20)
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    • Variable importance in binary regression trees and forests
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    • Ishwaran, H.1
  • 12
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R. and John, G. H. (1997). Wrappers for feature subset selection. Artificial intelligence, 97(1):273-324.
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    • Kohavi, R.1    John, G.H.2
  • 13
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomforest
    • Liaw, A. andWiener, M. (2002). Classification and regression by randomforest. R news, 2(3):18-22.
    • (2002) R News , vol.2 , Issue.3 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 18
    • 33847096395 scopus 로고    scopus 로고
    • Bias in random forest variable importance measures: Illustrations, sources and a solution
    • Strobl, C., Boulesteix, A.-L., Zeileis, A., and Hothorn, T. (2007). Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC bioinformatics, 8(1):25.
    • (2007) BMC Bioinformatics , vol.8 , Issue.1 , pp. 25
    • Strobl, C.1    Boulesteix, A.-L.2    Zeileis, A.3    Hothorn, T.4
  • 19
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    • Technical note: Bias in information-based measures in decision tree induction
    • White, A. P. and Liu, W. Z. (1994). Technical note: Bias in information-based measures in decision tree induction. Machine Learning, 15(3):321-329.
    • (1994) Machine Learning , vol.15 , Issue.3 , pp. 321-329
    • White, A.P.1    Liu, W.Z.2
  • 20
    • 33646435649 scopus 로고    scopus 로고
    • PhD thesis, Utah State University, Department of Mathematics and Statistics
    • Zhao, G. (2000). A new perspective on classification. PhD thesis, Utah State University, Department of Mathematics and Statistics.
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    • Zhao, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.