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Applying Probability Propagation Nets

  • In this paper, we demonstrate by means of two examples how to work with probability propagation nets (PPNs). The fiirst, which comes from the book by Peng and Reggia [1], is a small example of medical diagnosis. The second one comes from [2]. It is an example of operational risk and is to show how the evidence flow in PPNs gives hints to reduce high losses. In terms of Bayesian networks, both examples contain cycles which are resolved by the conditioning technique [3].

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Metadaten
Author:Kurt Lautenbach, Kerstin Susewind
URN:urn:nbn:de:kola-6920
Series (Volume no.):Arbeitsberichte, FB Informatik (2012,10)
Document Type:Part of Periodical
Language:English
Date of completion:2012/12/18
Date of publication:2012/12/18
Publishing institution:Universität Koblenz-Landau, Universitätsbibliothek
Release Date:2012/12/18
Tag:Petrinetz
probability propagation nets
Number of pages:23
Institutes:Fachbereich 4 / Fachbereich 4
Fachbereich 4 / Institut für Informatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):License LogoEs gilt das deutsche Urheberrecht: § 53 UrhG