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Volumn , Issue , 2006, Pages 127-136

Separating signal from background using ensembles of rules

Author keywords

[No Author keywords available]

Indexed keywords

HIGH ENERGY PHYSICS; MACHINE LEARNING; STATISTICAL PHYSICS;

EID: 84894217740     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1142/9781860948985_0027     Document Type: Conference Paper
Times cited : (2)

References (12)
  • 1
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996). Bagging Predictors. Machine Learning 26: 123-140.
    • (1996) Machine Learning , vol.26 , pp. 123-140
    • Breiman, L.1
  • 2
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. (2001). Random Forests. Machine Learning 45: 5-32.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 6
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Friedman, J. H. (2001). Greedy function approximation: A gradient boosting machine. Annals of Statistics 29: 1189-1232.
    • (2001) Annals of Statistics , vol.29 , pp. 1189-1232
    • Friedman, J.H.1
  • 12
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. J. Royal. Statist. Soc. B. 58: 267-288.
    • (1996) J. Royal. Statist. Soc. B , vol.58 , pp. 267-288
    • Tibshirani, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.