TY  - JOUR
U1  - Teil eines Periodikums
A1  - Lautenbach, Kurt
A1  - Susewind, Kerstin
T1  - Applying Probability Propagation Nets
N2  - 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].
AB  - 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].
T3  - Arbeitsberichte, FB Informatik - 2012,10 
KW  - Petrinetz
KW  - probability propagation nets
Y1  - 2012
U6  - https://nbn-resolving.org/urn:nbn:de:kola-6920
UN  - https://nbn-resolving.org/urn:nbn:de:kola-6920
SP  - 23
ER  -