most citedLazy Propagation in Junction Trees

54 citations · 302 across the 14 of their papers we have counts for

collaborators

14 papers

cs.AI20131 cited

Analysis in HUGIN of Data Conflict

Bo Chamberlain, Finn Verner Jensen, Frank Jensen +1

After a brief introduction to causal probabilistic networks and the HUGIN approach, the problem of conflicting data is discussed. A measure of conflict is defined, and it is used i…

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.AI2013

From Influence Diagrams to Junction Trees

Frank Jensen, Finn Verner Jensen, Soren L. Dittmer

We present an approach to the solution of decision problems formulated as influence diagrams. This approach involves a special triangulation of the underlying graph, the constructi…

cs.AI2013

Optimal Junction Trees

Finn Verner Jensen, Frank Jensen

The paper deals with optimality issues in connection with updating beliefs in networks. We address two processes: triangulation and construction of junction trees. In the first par…

cs.AI201319 cited

Cautious Propagation in Bayesian Networks

Finn Verner Jensen

Consider the situation where some evidence e has been entered to a Bayesian network. When performing conflict analysis, sensitivity analysis, or when answering questions like "What…

cs.AI201326 cited

MIDAS - An Influence Diagram for Management of Mildew in Winter Wheat

Allan Leck Jensen, Finn Verner Jensen

We present a prototype of a decision support system for management of the fungal disease mildew in winter wheat. The prototype is based on an influence diagram which is used to det…