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IJAR
2007
69views more  IJAR 2007»
13 years 10 months ago
Racing algorithms for conditional independence inference
In this article, we consider the computational aspects of deciding whether a conditional independence statement t is implied by a list of conditional independence statements L usi...
Remco R. Bouckaert, Milan Studený
IJAR
2007
90views more  IJAR 2007»
13 years 10 months ago
An argumentation framework for merging conflicting knowledge bases
The problem of merging multiple sources of information is central in many information processing areas such as databases integrating problems, multiple criteria decision making, e...
Leila Amgoud, Souhila Kaci
IJAR
2007
86views more  IJAR 2007»
13 years 10 months ago
Joint propagation of probability and possibility in risk analysis: Towards a formal framework
This paper discusses some aspects of fuzzy random variables obtained by propagating uncertainty in risk analysis when some input parameters are stochastic, while others are determ...
Cédric Baudrit, Inés Couso, Didier D...
IJAR
2007
69views more  IJAR 2007»
13 years 10 months ago
Decision making under uncertainty using imprecise probabilities
Various ways for decision making with imprecise probabilities—admissibility, maximal expected utility, maximality, E-admissibility, Γ-maximax, Γ-maximin, all of which are well...
Matthias C. M. Troffaes
IJAR
2007
86views more  IJAR 2007»
13 years 10 months ago
Non-deterministic semantics for logics with a consistency operator
In order to handle inconsistent knowledge bases in a reasonable way, one needs a logic which allows nontrivial inconsistent theories. Logics of this sort are called paraconsistent...
Arnon Avron
IJAR
2007
130views more  IJAR 2007»
13 years 10 months ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano
IJAR
2007
48views more  IJAR 2007»
13 years 10 months ago
Using expert knowledge in solving the seismic inverse problem
For many practical applications, it it important to solve the seismic inverse problem, i.e., to measure seismic travel times and reconstruct velocities at different depths from t...
Matthew G. Averill, Kate C. Miller, G. Randy Kelle...
IJAR
2007
68views more  IJAR 2007»
13 years 10 months ago
A probabilistic logic based on the acceptability of gambles
Peter R. Gillett, Richard B. Scherl, Glenn Shafer
IJAR
2007
107views more  IJAR 2007»
13 years 10 months ago
Hybrid possibilistic networks
Possibilistic networks are important tools for dealing with uncertain pieces of information. For multiplyconnected networks, it is well known that the inference process is a hard ...
Salem Benferhat, Salma Smaoui