• DocumentCode
    1138146
  • Title

    Irrelevant Features in Pattern Recognition

  • Author

    Ben-Bassat, Moshe

  • Author_Institution
    USC Center for the Critically Ill, Shock Research Unit
  • Issue
    8
  • fYear
    1978
  • Firstpage
    746
  • Lastpage
    749
  • Abstract
    The concept of irrelevant features in Bayesian models for pattern recognition is introduced, and its mathematical meaning is explained. A technique for computing the conditional probabilities of irrelevant features, if necessary, is described. The effect of irrelevant features on feature selection in sequential classification is discussed and illustrated.
  • Keywords
    Classification; irrelevant features; pattern recognition; probability of error; sequential decision-making systems; Bayesian methods; Decision making; Distributed computing; Heart; Lungs; Mathematical model; Pattern recognition; Public healthcare; Waste materials; Yield estimation; Classification; irrelevant features; pattern recognition; probability of error; sequential decision-making systems;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.1978.1675182
  • Filename
    1675182
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1138146