• DocumentCode
    3168988
  • Title

    Performance and diversity evaluation in hybrid and non-hybrid structures of ensembles

  • Author

    Canuto, Anne M P ; Oliveira, Ld.M. ; Xavier, João C., Jr. ; Santos, Ad.M. ; Abreu, Marjory C C

  • Author_Institution
    Dept. of Informatics & Appl. Math., Rio Grande do Norte Fed. Univ., Natal, Brazil
  • fYear
    2005
  • fDate
    6-9 Nov. 2005
  • Abstract
    This paper presents a wide evaluation of performance and diversity in hybrid and non-hybrid structures of ensembles. In applying some diversity measures at the chosen ensemble, it is intended to analyse the effect of varying diversity in ensembles and how the variation of diversity can affect the performance of several combination methods (selection-based and combination-based methods). Finally, it is also intended to understand the reasons that some combination methods are more affected by variation in diversity.
  • Keywords
    pattern classification; combination methods; diversity evaluation; ensembles; pattern classification; performance evaluation; Competitive intelligence; Computational intelligence; Diversity methods; Diversity reception; Informatics; Mathematics; Pattern recognition; Performance analysis; Topology; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2005. HIS '05. Fifth International Conference on
  • Print_ISBN
    0-7695-2457-5
  • Type

    conf

  • DOI
    10.1109/ICHIS.2005.87
  • Filename
    1587762