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Volumn , Issue , 2012, Pages 157-175

Random forests

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; SOFTWARE ENGINEERING;

EID: 84930202925     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/9781441993267_5     Document Type: Chapter
Times cited : (1171)

References (26)
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  • 3
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    • Consistency of Random Forests and Other Averaging Classifiers
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    • Bagging Predictors
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    • Breiman, L.1
  • 7
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    • A forest-based approach to identifying gene and genegene interactions
    • Chen, X., Liu, C.-T., Zhang, M., Zhang, H.: A forest-based approach to identifying gene and genegene interactions. Proc Natl Acad Sci USA 104 (49) pp. 19199-19203 (2007).
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    • Chen, X.1    Liu, C.-T.2    Zhang, M.3    Zhang, H.4
  • 8
    • 12344294601 scopus 로고    scopus 로고
    • BagBoosting for Tumor Classification with Gene Expression Data
    • Dettling, M.: BagBoosting for Tumor Classification with Gene Expression Data. Bioinformatics 20 (18) pp. 3583-3593 (2004).
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    • Dettling, M.1
  • 9
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    • Gene Selection and Classification of Microarray Data Using Random Forest
    • Diaz-Uriarte, R., Alvarez de Andres, S.: Gene Selection and Classification of Microarray Data Using Random Forest. BMC Bioinformatics 7 (1) 3 (2006).
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    • Diaz-Uriarte, R.1    Alvarez De Andres, S.2
  • 11
    • 77953351710 scopus 로고    scopus 로고
    • An application of Random Forests to a genome-wide association dataset: Methodological considerations & new findings
    • Goldstein, B., Hubbard, A., Cutler, A. Barcellos, L.: An application of Random Forests to a genome-wide association dataset: Methodological considerations & new findings. BMC Genetics 11 (1) 49 (2010).
    • (2010) BMC Genetics , vol.11 , Issue.1 , pp. 49
    • Goldstein, B.1    Hubbard, A.2    Cutler, A.3    Barcellos, L.4
  • 15
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    • Classification and Regression by randomForest
    • Liaw, A., Wiener, M.: Classification and Regression by randomForest. R News 2 (3) pp. 18-22 (2002).
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    • Liaw, A.1    Wiener, M.2
  • 17
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    • Evidence Contrary to the Statistical View of Boosting
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    • Object Class Segmentation using Random Forests. Proceedings of the British Machine Vision Conference 2008
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  • 24
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    • Statnikov, A.1    Wang, L.2    Aliferis, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.