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ANSS
1998
IEEE
13 years 12 months ago
On Interval Weighted Three-Layer Neural Networks
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
Mohsen Beheshti, Ali Berrached, André de Ko...
ICTAI
2006
IEEE
14 years 1 months ago
A Junction Tree Propagation Algorithm for Bayesian Networks with Second-Order Uncertainties
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
Maurizio Borsotto, Weihong Zhang, Emir Kapanci, Av...
IJAR
2008
74views more  IJAR 2008»
13 years 7 months ago
Unifying practical uncertainty representations - I: Generalized p-boxes
Abstract. There exist several simple representations of uncertainty that are easier to handle than more general ones. Among them are random sets, possibility distributions, probabi...
Sébastien Destercke, Didier Dubois, Eric Ch...
ISIPTA
2003
IEEE
127views Mathematics» more  ISIPTA 2003»
14 years 27 days ago
Climate Projections for the 21st Century Using Random Sets
We apply random set theory to an analysis of future climate change. Bounds on cumulative probability are used to quantify uncertainties in natural and socio-economic factors that ...
Elmar Kriegler, Hermann Held
AUTOMATICA
2008
98views more  AUTOMATICA 2008»
13 years 7 months ago
Stability and stabilization of nonuniform sampling systems
This paper is concerned with nonuniform sampling systems, where the sampling interval is time-varying within a certain known bound. The system is transformed into a time-varying d...
Young Soo Suh