• DocumentCode
    1406225
  • Title

    Banter on Bayes: debating the usefulness of Bayesian approaches to solving practical problems

  • Author

    Hearst, M.A.

  • Author_Institution
    California Univ., Berkeley, CA, USA
  • Volume
    12
  • Issue
    6
  • fYear
    1997
  • Firstpage
    18
  • Lastpage
    21
  • Abstract
    We consider the status of Bayesian statistical methods for the analysis of complex real-world problems. Most AI problems require a method for representing uncertainty. Currently, there is intense interest in the use of Bayesian reasoning, Bayesian belief networks, and other Bayesian methods for the modeling of uncertainty in many avenues of AI research.
  • Keywords
    Bayes methods; belief maintenance; inference mechanisms; probability; problem solving; statistical analysis; uncertainty handling; AI problems; Bayesian belief networks; Bayesian reasoning; Bayesian statistical methods; artificial intelligence; complex real-world problems; probability; problem solving; uncertainty handling; Bayesian methods; Biomedical imaging; Breast cancer; Genetics; History; Human immunodeficiency virus; Measurement uncertainty; Risk analysis; Statistical analysis; Statistics;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.642955
  • Filename
    642955
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1406225