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ISIPTA
2003
IEEE
126views Mathematics» more  ISIPTA 2003»
14 years 26 days ago
Robust Estimators under the Imprecise Dirichlet Model
Walley’s Imprecise Dirichlet Model (IDM) for categorical data overcomes several fundamental problems which other approaches to uncertainty suffer from. Yet, to be useful in prac...
Marcus Hutter
ERCIMDL
2007
Springer
87views Education» more  ERCIMDL 2007»
14 years 1 months ago
A Model of Uncertainty for Near-Duplicates in Document Reference Networks
We introduce a model of uncertainty where documents are not uniquely identified in a reference network, and some links may be incorrect. It generalizes the probabilistic approach ...
Claudia Hess, Michel de Rougemont
CSDA
2006
71views more  CSDA 2006»
13 years 7 months ago
Practical representations of incomplete probabilistic knowledge
This article deals with the compact representation of incomplete probabilistic knowledge which can be encountered in risk evaluation problems, for instance in environmental studie...
Cédric Baudrit, Didier Dubois
ISIPTA
1999
IEEE
117views Mathematics» more  ISIPTA 1999»
13 years 12 months ago
Towards a Unified Theory of Imprecise Probability
Belief functions, possibility measures and Choquet capacities of order 2, which are special kinds of coherent upper or lower probability, are amongst the most popular mathematical...
Peter Walley
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 7 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine