• DocumentCode
    1742930
  • Title

    A hierarchical multiple classifier learning algorithm

  • Author

    Chou, Yu-Yu ; Shapiro, Linda G.

  • Author_Institution
    Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    152
  • Abstract
    We describe a hierarchical multiple classifier learning algorithm that was developed to provide a tool for classifier construction in medical applications. The mechanism uses data clustering and sub-class labeling to reduce the overhead of training and enhance the classification accuracy. The results of using this method are compared to a hand-built classifier and to other multiple classifier algorithms
  • Keywords
    learning (artificial intelligence); medical diagnostic computing; neural nets; pattern classification; classification accuracy; data clustering; hand-built classifier; hierarchical multiple classifier learning algorithm; sub-class labeling; Biomedical equipment; Clustering algorithms; Computer science; Machine learning; Machine learning algorithms; Medical diagnosis; Medical services; Neural networks; Pattern recognition; Refining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.906037
  • Filename
    906037
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1742930