Incompletely specified probabilistic networks

نویسنده

  • Stephen F. Roehrig
چکیده

Probabilistic networks, used as an adjunci or alternative to the logzcal models used in AI and DSS, ogler a way to compactly represent a distribution over a set of random variables. Nonetheless, the specification of a given network may require conditional probabilities which are simply unavailable. In this paper a means for analyzing incompletely specified networks is presented, and some general rules are derived from the application of the method to some simple networks.

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عنوان ژورنال:
  • J. of Management Information Systems

دوره 12  شماره 

صفحات  -

تاریخ انتشار 1995