• DocumentCode
    1492941
  • Title

    Parallel implementations of probabilistic inference

  • Author

    Kozlov, Alexander V. ; Singh, Jay Prakash

  • Author_Institution
    Dept. of Applied Phys., Stanford Univ., CA, USA
  • Volume
    29
  • Issue
    12
  • fYear
    1996
  • fDate
    12/1/1996 12:00:00 AM
  • Firstpage
    33
  • Lastpage
    40
  • Abstract
    Probabilistic inference is becoming an integral part of decision-making systems, but it is so computationally intensive that it is often impractical. The authors report on the effectiveness of speeding up this technique by exploiting its parallelism
  • Keywords
    decision support systems; inference mechanisms; parallel processing; probability; uncertainty handling; computationally intensive; decision-making systems; parallel implementations; probabilistic inference; uncertainty; Application software; Asia; Cancer; Concurrent computing; Decision making; Distributed computing; Lungs; Parallel processing; Testing; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/2.546607
  • Filename
    546607
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1492941