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» Possibilistic Influence Diagrams
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UAI
2001
13 years 7 months ago
Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation
In this paper we present three different architectures for the evaluation of influence diagrams: HUGIN, Shafer-Shenoy (S-S), and Lazy Propagation (LP). HUGIN and LP are two new ar...
Anders L. Madsen, Dennis Nilsson
FLAIRS
1998
13 years 7 months ago
Decision Making in Qualitative Influence Diagrams
The increasing number of knowledge-based systems that build on a Bayesian belief network or influence diagram acknowledge the usefulness of these frameworks for addressing complex...
Silja Renooij, Linda C. van der Gaag
ECIR
2006
Springer
13 years 7 months ago
Influence Diagrams for Contextual Information Retrieval
The purpose of contextual information retrieval is to make some exploration towards designing user specific search engines that are able to adapt the retrieval model to the variety...
Lynda Tamine-Lechani, Mohand Boughanem
COMMA
2008
13 years 7 months ago
Basic influence diagrams and the liberal stable semantics
Abstract. This paper is concerned with the general problem of constructing decision tables and more specifically, with the identification of all possible outcomes of decisions. We ...
Paul-Amaury Matt, Francesca Toni
IJAR
2010
98views more  IJAR 2010»
13 years 3 months ago
Variable elimination for influence diagrams with super value nodes
In the original formulation of influence diagrams (IDs), each model contained exactly one utility node. Tatman and Shachter (1990), introduced the possibility of having super-valu...
Manuel Luque, Francisco Javier Díez