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IJDE
2002
67views more  IJDE 2002»
13 years 7 months ago
Error, Uncertainty and Loss in Digital Evidence
Despite the potentially grave ramifications of relying on faulty information in the investigative or probabitive stages, the uncertainty in digital evidence is not being evaluated...
Eoghan Casey
SEMWEB
2007
Springer
14 years 1 months ago
Extending Fuzzy Description Logics with a Possibilistic Layer
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. As a solution we will combine fuzzy Description Logics with a possibilistic layer....
Fernando Bobillo, Miguel Delgado, Juan Góme...
SPIRE
2005
Springer
14 years 1 months ago
A Model for Information Retrieval Based on Possibilistic Networks
This paper proposes a model for Information Retrieval (IR) based on possibilistic directed networks. Relations documents-terms and query-terms are modeled through possibility and n...
Asma Brini, Mohand Boughanem, Didier Dubois
ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ISIPTA
1999
IEEE
169views Mathematics» more  ISIPTA 1999»
13 years 12 months ago
Dempster-Belief Functions Are Based on the Principle of Complete Ignorance
This paper shows that a "principle of complete ignorance" plays a central role in decisions based on Dempster belief functions. Such belief functions occur when, in a fi...
Peter P. Wakker