IJAR
2010
13 years 8 months ago
2010
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 ...
IJAR
2010
13 years 8 months ago
2010
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...
IJAR
2010
13 years 8 months ago
2010
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...
IJAR
2010
13 years 10 months ago
2010
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...
IJAR
2010
13 years 10 months ago
2010
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...
IJAR
2010
13 years 10 months ago
2010
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 ...
IJAR
2010
13 years 10 months ago
2010
IJAR
2010
13 years 10 months ago
2010
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...
IJAR
2010
13 years 10 months ago
2010
IJAR
2010
13 years 10 months ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...