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Volumn , Issue , 2008, Pages

The implication of data diversity for a classifier-free ensemble selection in random subspaces

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION;

EID: 77957953000     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761767     Document Type: Conference Paper
Times cited : (11)

References (9)
  • 5
    • 0036896235 scopus 로고    scopus 로고
    • An experimental study on diversity for bagging and boosting with linear classifiers
    • L. I. Kuncheva, M. Skurichina, and R. P. W. Duin, "An Experimental Study on Diversity for Bagging and Boosting with Linear Classifiers", International Journal of Information Fusion, vol. 3, no. 2, pp. 245-258, 2002.
    • (2002) International Journal of Information Fusion , vol.3 , Issue.2 , pp. 245-258
    • Kuncheva, L.I.1    Skurichina, M.2    Duin, R.P.W.3
  • 6
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • L. I. Kuncheva and C. J. Whitaker, "Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy", Machine Learning, vol. 51, no. 2, pp. 181-207, 2003.
    • (2003) Machine Learning , vol.51 , Issue.2 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.