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» Constraint Reasoning with Uncertain Data Using CDF-Intervals
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HICSS
1999
IEEE
133views Biometrics» more  HICSS 1999»
13 years 11 months ago
Collaborative Decision Making and Intelligent Reasoning in Judge Advisor Systems
This paper presents a judgement and decision making analysis of collaborative problem solving. This analysis is done with respect to the Raven and CoRaven decision-making tools fo...
David C. Wilkins, Patricia M. Jones, Roger Bargar,...
BMCBI
2007
97views more  BMCBI 2007»
13 years 7 months ago
A procedure for the estimation over time of metabolic fluxes in scenarios where measurements are uncertain and/or insufficient
Background: An indirect approach is usually used to estimate the metabolic fluxes of an organism: couple the available measurements with known biological constraints (e.g. stoichi...
Francisco Llaneras, Jesús Picó
ICTAI
2008
IEEE
14 years 1 months ago
Probabilistic Continuous Constraint Satisfaction Problems
Constraint programming has been used in many applications where uncertainty arises to model safe reasoning. The goal of constraint propagation is to propagate intervals of uncerta...
Elsa Carvalho, Jorge Cruz, Pedro Barahona
EUROSSC
2009
Springer
13 years 10 months ago
Using Dempster-Shafer Theory of Evidence for Situation Inference
Abstract. In the domain of ubiquitous computing, the ability to identify the occurrence of situations is a core function of being ’contextaware’. Given the uncertain nature of ...
Susan McKeever, Juan Ye, Lorcan Coyle, Simon A. Do...
ICDE
2012
IEEE
277views Database» more  ICDE 2012»
11 years 9 months ago
Aggregate Query Answering on Possibilistic Data with Cardinality Constraints
— Uncertainties in data arise for a number of reasons: when the data set is incomplete, contains conflicting information or has been deliberately perturbed or coarsened to remov...
Graham Cormode, Divesh Srivastava, Entong Shen, Ti...