• DocumentCode
    2306306
  • Title

    The impact of different types of impurity on theory-softening

  • Author

    Wasif, Abu ; Hossain, Mohammad Sajjad ; Muslim, Nasif

  • Author_Institution
    Bangladesh Univ. of Eng. & Technol., Dhaka
  • fYear
    2007
  • fDate
    27-29 Dec. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Theory-softening is a novel way of utilization of imperfect domain theories. Soft interpretation of given flawed theories provides a way of classifying examples despite the presence of impurities in the theory. However, theory-softening is not equally successful for all possible types of flaws present. This paper investigates the performance of theory-softening and finds that while it is useful for impurities introducing over-specificity, it can become unhelpful and cause degraded performance for impurities introducing over-generality.
  • Keywords
    learning (artificial intelligence); pattern classification; probability; flawed theories; imperfect domain theories; machine learning; pattern classification; probabilistic theory revision; soft interpretation; theory-softening; Degradation; Expert systems; Impurities; Knowledge engineering; Machine learning; Robustness; Softening; Theory revision; impurities; theory-softening;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and information technology, 2007. iccit 2007. 10th international conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4244-1550-2
  • Electronic_ISBN
    978-1-4244-1551-9
  • Type

    conf

  • DOI
    10.1109/ICCITECHN.2007.4579356
  • Filename
    4579356