The file Accident_cc.oobn is an Example based on:
Daphne Koller and Avi Pfeffer
Object-Oriented Bayesian Networks, In
Proceedings of the Thirteenth Annual Conference
on Uncertainty in Artificial Intelligence (UAI-97),
pages 302-313,
Providence, Rhode Island, August 1-3, 1997
The Barley network.
Kristensen, K. & Rasmussen, I.A. 2002. The use of a Bayesian network in the design of a decision support system for growing malting barley without use of pesticides. Computers and Electronics in Agriculture. 33, 197-217.
Visit the project homepage for a short description of the network:
http://gbi.agrsci.dk/~kmk/BarleyDSS.html
A preliminary model for insulin dose adjustment. The model consists of 24 structurally identical subnetworks interconnected via temporal links. The model has been developed by Steen Andreassen, Roman Hovorka, Jonathan Benn, Kristian G. Olesen, and Ewart R. Carson. See Andreassen et al. (1991), A Model-based Approach to Insulin Adjustment, In Stefanelliet al. (eds.), Proceedings of the Third Conference on Artificial Intelligence in Medicine, 239-248, Springer-Verlag.
(Network size using associated elimination order: 9,825,960)
The Disease example is part of the OOBN Tutorial at Hugin’s website.
Link to the OOBN Tutorial: https://www.hugin.com/technology/tutorials/oobn
The files are attached below
disease.oobn must be edited according to the tutorial before diseases.oobn can be opened.
Pedigree for linkage analysis created by Claus Skaanning Jensen and Augustine Kong. See Jensen and Kong (1996), Blocking Gibbs Sampling for Linkage Analysis in Large Pedigrees with Many Loops, Research Report R-96-2048, Department of Computer Science, Aalborg University, Denmark
(Network size using associated elimination order: 23,983,962)
A preliminary model for deciding on the amount of fungicides to be used against attack of mildew in wheat. The model has been developed by Finn V. Jensen, Jørgen Olesen, and Uffe Kjærulff.
(network size using the associated optimal elimination order: 3,400,464)
Subset of the Munin network (189 nodes). For a description of the Munin network see Andreasen et al. (1989), MUNIN – An Expert EMG Assistant, In John E. Desmedt (ed.), Computer-Aided Electromyography and Expert Systems, ch. 21, Elsevier Science Publishers, Amsterdam.
(Network size using associated elimination order: 83,735,758)
Subset of the Munin network (1003 nodes).
(network size using associated elimination order: 2,049,942)
This is a network for predicting the risk of ship-ship collisions. The network is described in “Risk-Based Ship Design: Methods, tools and applications”, Papanikolaou, Editor, (2009).
The network was developed by Peter Friis Hansen et al.
Object oriented network that describes system failure of a power plant in California during an earth quake.
Preliminary model of the biological processes of a water purification plant. The network consists of four structurally identical subnetworks, each representing a time slice of 15 minutes. The network was developed by Finn V. Jensen, Uffe Kjærulff, Kristian G. Olesen, and Jan Pedersen.
(network size using optimal elimination order: 3,028,305)
