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CIMCA
2005
IEEE
14 years 1 months ago
OntoBayes: An Ontology-Driven Uncertainty Model
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
Yi Yang, Jacques Calmet
SEAL
2010
Springer
13 years 6 months ago
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
Rupesh Kumar Srivastava, Kalyanmoy Deb
IPMI
2003
Springer
14 years 22 days ago
Ideal-Observer Performance under Signal and Background Uncertainty
We use the performance of the Bayesian ideal observer as a figure of merit for hardware optimization because this observer makes optimal use of signal-detection information. Due t...
Subok Park, Matthew A. Kupinski, Eric Clarkson, Ha...
CGF
2010
114views more  CGF 2010»
13 years 7 months ago
Visualizing Summary Statistics and Uncertainty
The graphical depiction of uncertainty information is emerging as a problem of great importance. Scientific data sets are not considered complete without indications of error, acc...
Kristin Potter, Joe Kniss, Richard F. Riesenfeld, ...
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
14 years 7 months ago
Orion 2.0: native support for uncertain data
Orion is a state-of-the-art uncertain database management system with built-in support for probabilistic data as first class data types. In contrast to other uncertain databases, ...
Sarvjeet Singh, Chris Mayfield, Sagar Mittal, Suni...