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Applications of a general propagation algorithm for probabilistic expert systems (1992)

Dawid, A. P.

Springer

Statistics and computing 2 (1992), S. 25-36

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ISSN: 1573-1375

Schlagwort(e): Reasoning under uncertainty ; causal probabilistic network ; influence diagram ; belief network ; knowledge-based systems ; evidence ; fast retraction ; maxinlization ; explanation ; simulation ; junction tree ; charge ; potential function ; flow ; propagation

Quelle: Springer Online Journal Archives 1860-2000

Thema: Informatik , Mathematik

Notizen: Abstract A probabilistic expert system provides a graphical representation of a joint probability distribution which can be used to simplify and localize calculations. Jensenet al. (1990) introduced a ‘flow-propagation’ algorithm for calculating marginal and conditional distributions in such a system. This paper analyses that algorithm in detail, and shows how it can be modified to perform other tasks, including maximization of the joint density and simultaneous ‘fast retraction’ of evidence entered on several variables.

Materialart: Digitale Medien

URL: http://dx.doi.org/10.1007/BF01890546

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