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» The Aggregation of Imprecise Probabilities
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ICPR
2006
IEEE
14 years 8 months ago
Precision-recall operating characteristic (P-ROC) curves in imprecise environments
Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this pa...
Thomas Landgrebe, Pavel Paclík, Robert P. W...
ICDE
2009
IEEE
165views Database» more  ICDE 2009»
14 years 9 months ago
Spatial Range Querying for Gaussian-Based Imprecise Query Objects
Abstract-- In sensor environments and moving robot applications, the position of an object is often known imprecisely because of measurement error and/or movement of the object. In...
Yoshiharu Ishikawa, Yuichi Iijima, Jeffrey Xu Yu
CORR
2010
Springer
69views Education» more  CORR 2010»
13 years 7 months ago
Epistemic irrelevance in credal nets: the case of imprecise Markov trees
We focus on credal nets, which are graphical models that generalise Bayesian nets to imprecise probability. We replace the notion of strong independence commonly used in credal ne...
Gert de Cooman, Filip Hermans, Alessandro Antonucc...
IJAR
2010
105views more  IJAR 2010»
13 years 4 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
ISIPTA
2003
IEEE
119views Mathematics» more  ISIPTA 2003»
14 years 20 days ago
Analysis of Local or Asymmetric Dependencies in Contingency Tables using the Imprecise Dirichlet Model
We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...
Jean-Marc Bernard