• DocumentCode
    419793
  • Title

    Diversity/accuracy and ensemble classifier design

  • Author

    Windeatt, Terry

  • Author_Institution
    CVSSP, Surrey Univ., Guildford, UK
  • Volume
    3
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    454
  • Abstract
    For an ensemble of multi-layer perceptrons (MLP), test error is shown in this paper to be well correlated with a diversity/accuracy measure computed between pairs of patterns. A weighted combination that uses the proposed measure to set the weights is shown to be less sensitive to the number of training epochs compared with majority vote.
  • Keywords
    multilayer perceptrons; pattern classification; diversity/accuracy measure; ensemble classifier design; multilayer perceptrons; pattern classification; training epochs; Bagging; Classification tree analysis; Computer architecture; Decision trees; Design optimization; Interconnected systems; Multilayer perceptrons; Q measurement; Testing; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334564
  • Filename
    1334564