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].
Author: | Kurt Lautenbach, Kerstin Susewind |
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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, 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): | Es gilt das deutsche Urheberrecht: § 53 UrhG |