• DocumentCode
    1406336
  • Title

    Bayesian in principle, but not always in practice

  • Author

    Buntine, Wray

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    12
  • Issue
    6
  • fYear
    1997
  • Firstpage
    24
  • Lastpage
    25
  • Abstract
    Before considering the whys and wherefores of Bayesian reasoning in practice, the author considers the different uses of the term and the role that Bayesian reasoning should play for the scientific community. Probabilistic reasoning or modeling, together with its partner, decision theory, is a key theoretical tool for addressing uncertainty in intelligent systems of all kinds. Probabilistic reasoning comes in many shapes and sizes, and does not necessarily imply the use of Bayesian methods proper, as the author discusses
  • Keywords
    Bayes methods; inference mechanisms; probability; statistical analysis; uncertainty handling; Bayesian reasoning; decision theory; intelligent systems; probabilistic modeling; probabilistic reasoning; scientific community; uncertainty handling; Bayesian methods; Decision theory; Graphical models; Integrated circuit modeling; Intelligent systems; Machine learning; Neural networks; Shape; Statistics; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.642957
  • Filename
    642957