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Volumn 6713 LNCS, Issue , 2011, Pages 26-35

A Bayesian approach for combining ensembles of GP classifiers

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN APPROACHES; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CLASSIFICATION PERFORMANCE; ENSEMBLE TECHNIQUES; MAJORITY VOTE; SYSTEM USE;

EID: 80052973878     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21557-5_5     Document Type: Conference Paper
Times cited : (28)

References (14)
  • 3
    • 77952328091 scopus 로고    scopus 로고
    • A hybrid evolutionary algorithm for bayesian networks learning: An application to classifier combination
    • De Stefano, C., Fontanella, F., Marrocco, C., Scotto di Freca, A.: A hybrid evolutionary algorithm for bayesian networks learning: An application to classifier combination. In: EvoApplications (1). pp. 221-230 (2010)
    • (2010) EvoApplications , Issue.1 , pp. 221-230
    • De Stefano, C.1    Fontanella, F.2    Marrocco, C.3    Scotto Di Freca, A.4
  • 9
    • 84874235444 scopus 로고    scopus 로고
    • An investigation into how adaboost affects classifier diversity
    • Kuncheva, L., Shipp, C.: An investigation into how adaboost affects classifier diversity. In: Proc. of IPMU (2002)
    • Proc. of IPMU (2002)
    • Kuncheva, L.1    Shipp, C.2
  • 10
    • 0036896235 scopus 로고    scopus 로고
    • An experimental study on diversity for bagging and boosting with linear classifiers
    • Kuncheva, L., Skurichina, M., Duin, R.P.W.: An experimental study on diversity for bagging and boosting with linear classifiers. Information Fusion 3(4), 245-258 (2002)
    • (2002) Information Fusion , vol.3 , Issue.4 , pp. 245-258
    • Kuncheva, L.1    Skurichina, M.2    Duin, R.P.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.