541 citations
- Technical University of DenmarkDK7 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Institut national de recherche en sciences et technologies du numériqueFR5 papers
- Tokyo Institute of TechnologyJP5 papers
- Centre de Physique ThéoriqueFR4 papers
- Center for Pastor TheologiansUS3 papers
- Delft University of TechnologyNL3 papers
- East China Normal UniversityCN3 papers
- Helsinki Institute of PhysicsFI3 papers
- Institut de Recherche en Informatique et Systèmes AléatoiresFR3 papers
- National Institute of Information and Communications TechnologyJP3 papers
- Romanian AcademyRO3 papers
19 papers · 1 filter
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…
A computational scheme for Reasoning in Dynamic Probabilistic Networks
Uffe Kjærulff
A computational scheme for reasoning about dynamic systems using (causal) probabilistic networks is presented. The scheme is based on the framework of Lauritzen and Spiegelhalter (…
Global Conditioning for Probabilistic Inference in Belief Networks
Ross D. Shachter, Stig K. Andersen, Peter Szolovits
In this paper we propose a new approach to probabilistic inference on belief networks, global conditioning, which is a simple generalization of Pearl's (1986b) method of loopcutset…
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…
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…
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…