2 papers
cs.AI2013
aHUGIN: A System Creating Adaptive Causal Probabilistic Networks
Kristian G. Olesen, Steffen L. Lauritzen, Finn Verner Jensen
The paper describes aHUGIN, a tool for creating adaptive systems. aHUGIN is an extension of the HUGIN shell, and is based on the methods reported by Spiegelhalter and Lauritzen (19…
cs.AI2012
Incremental Compilation of Bayesian networks
Julia M. Flores, Jose A. Gamez, Kristian G. Olesen
Most methods of exact probability propagation in Bayesian networks do not carry out the inference directly over the network, but over a secondary structure known as a junction tree…