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ECSQARU
2005
Springer
13 years 10 months ago
Nonlinear Deterministic Relationships in Bayesian Networks
In a Bayesian network with continuous variables containing a variable(s) that is a conditionally deterministic function of its continuous parents, the joint density function for t...
Barry R. Cobb, Prakash P. Shenoy
ECSQARU
2005
Springer
13 years 10 months ago
Belief Revision of GIS Systems: The Results of REV!GIS
Salem Benferhat, Jonathan Ben-Naim, Robert Jeansou...
ECSQARU
2005
Springer
13 years 10 months ago
Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits
We describe an algorithm to build a graphical model—more precisely: a join tree representation of a Markov network—for a steady state analog electrical circuit. This model can ...
Christian Borgelt, Rudolf Kruse
ECSQARU
2005
Springer
13 years 10 months ago
Argument-Based Expansion Operators in Possibilistic Defeasible Logic Programming: Characterization and Logical Properties
Possibilistic Defeasible Logic Programming (P-DeLP) is a logic programming language which combines features from argumentation theory and logic programming, incorporating as well t...
Carlos Iván Chesñevar, Guillermo Ric...
ECSQARU
2005
Springer
13 years 10 months ago
Bilattice-Based Squares and Triangles
Abstract. In this paper, Ginsberg’s/Fitting’s theory of bilattices is invoked as a natural accommodation and powerful generalization to both intuitionistic fuzzy sets (IFSs) an...
Ofer Arieli, Chris Cornelis, Glad Deschrijver, Eti...
ECSQARU
2005
Springer
13 years 10 months ago
A Decision-Based Approach for Recommending in Hierarchical Domains
Luis M. de Campos, Juan M. Fernández-Luna, ...
ECSQARU
2005
Springer
13 years 10 months ago
An Argumentation-Based Approach to Multiple Criteria Decision
The paper presents a first tentative work that investigates
Leila Amgoud, Jean-François Bonnefon, Henri...
ECSQARU
2005
Springer
13 years 10 months ago
On the Use of Restrictions for Learning Bayesian Networks
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
Luis M. de Campos, Javier Gomez Castellano
ECSQARU
2005
Springer
13 years 10 months ago
Racing for Conditional Independence Inference
Remco R. Bouckaert, Milan Studený