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IJAR
2010
105views more  IJAR 2010»
13 years 8 months ago
A tree augmented classifier based on Extreme Imprecise Dirichlet Model
In this paper we present TANC, i.e., a tree-augmented naive credal classifier based on imprecise probabilities; it models prior near-ignorance via the Extreme Imprecise Dirichlet ...
G. Corani, C. P. de Campos
IJAR
2010
139views more  IJAR 2010»
13 years 8 months ago
Imprecise expectations for imprecise linear filtering
In the last 10 years, there has been increasing interest in interval valued data in signal processing. According to the conventional view, an interval value supposedly reflects th...
Agnès Rico, Olivier Strauss
IJAR
2010
98views more  IJAR 2010»
13 years 8 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
91views more  IJAR 2010»
13 years 9 months ago
Inference and risk measurement with the pari-mutuel model
We explore generalizations of the pari-mutuel model (PMM), a formalization of an intuitive way of assessing an upper probability from a precise one. We discuss a naive extension o...
Renato Pelessoni, Paolo Vicig, Marco Zaffalon
IJAR
2010
106views more  IJAR 2010»
13 years 9 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
153views more  IJAR 2010»
13 years 9 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...
IJAR
2010
77views more  IJAR 2010»
13 years 9 months ago
Independence concepts in evidence theory
Inés Couso, Serafín Moral
IJAR
2010
189views more  IJAR 2010»
13 years 9 months ago
A fuzzy random forest
Following Breiman’s methodology, we propose a multi-classifier based on a “forest” of randomly generated fuzzy decision trees, i.e., a Fuzzy Random Forest. This approach co...
Piero P. Bonissone, José Manuel Cadenas, M....
IJAR
2010
107views more  IJAR 2010»
13 years 9 months ago
Fuzzy Description Logics and t-norm based fuzzy logics
Àngel García-Cerdaña, Eva Arm...
IJAR
2010
97views more  IJAR 2010»
13 years 9 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...