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» Representing Uncertainty in RuleML
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ECAI
2006
Springer
13 years 11 months ago
Situation Assessment for Sensor-Based Recovery Planning
We present an approach for recovery from perceptual failures, or more precisely anchoring failures. Anchoring is the problem of connecting symbols representing objects to sensor da...
Abdelbaki Bouguerra, Lars Karlsson, Alessandro Saf...
ECAL
1995
Springer
13 years 11 months ago
Contextual Genetic Algorithms: Evolving Developmental Rules
A genetic algorithm scheme with a stochastic genotype/phenotype relation is proposed. The mechanisms responsible for this intermediate level of uncertainty, are inspired by the bio...
Luis Mateus Rocha
FOIKS
2008
Springer
13 years 9 months ago
SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach
This paper investigates an extension of classification trees to deal with uncertain information where uncertainty is encoded in possibility theory framework. Class labels in data s...
Ilyes Jenhani, Nahla Ben Amor, Salem Benferhat, Zi...
AAAI
2010
13 years 8 months ago
Inducing Probability Distributions from Knowledge Bases with (In)dependence Relations
When merging belief sets from different agents, the result is normally a consistent belief set in which the inconsistency between the original sources is not represented. As proba...
Jianbing Ma, Weiru Liu, Anthony Hunter
SUM
2010
Springer
13 years 6 months ago
Event Modelling and Reasoning with Uncertain Information for Distributed Sensor Networks
CCTV and sensor based surveillance systems are part of our daily lives now in this modern society due to the advances in telecommunications technology and the demand for better sec...
Jianbing Ma, Weiru Liu, Paul Miller