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IJAR
2010
106views more  IJAR 2010»
13 years 3 months ago
A minimum distance estimator in an imprecise probability model - Computational aspects and applications
The present article considers estimating a parameter θ in an imprecise probability model (Pθ)θ∈Θ which consists of coherent upper previsions Pθ . After the definition of a...
Robert Hable
IJAR
2010
70views more  IJAR 2010»
13 years 3 months ago
Granular computing applied to ontologies
Granular Computing is an emerging conceptual and computing paradigm of information processing. A central notion is an information-processing pyramid with different levels of clari...
Silvia Calegari, Davide Ciucci
IJAR
2010
152views more  IJAR 2010»
13 years 3 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
IJAR
2010
98views more  IJAR 2010»
13 years 2 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
IJAR
2010
153views more  IJAR 2010»
13 years 3 months ago
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
For diagnosing dyslexia in early childhood, children have to solve non-writing based, graphical tests. Curently, these tests are processed by a human expert; applying artificial ...
Ana M. Palacios, Luciano Sánchez, Iné...