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» Evaluating Predictive Uncertainty Challenge
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PODS
2007
ACM
139views Database» more  PODS 2007»
14 years 6 months ago
Management of probabilistic data: foundations and challenges
Many applications today need to manage large data sets with uncertainties. In this paper we describe the foundations of managing data where the uncertainties are quantified as pro...
Nilesh N. Dalvi, Dan Suciu
MLCW
2005
Springer
13 years 11 months ago
Estimating Predictive Variances with Kernel Ridge Regression
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 8 months ago
Integrating and Ranking Uncertain Scientific Data
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly ...
Landon Detwiler, Wolfgang Gatterbauer, Brenton Lou...
CLADE
2008
IEEE
13 years 8 months ago
A grid-enabled workflow system for reservoir uncertainty analysis
Reservoir uncertainty analysis is significant for petroleum engineers for predictions of reservoir performance. However, analysis of reservoir performance uncertainty is challengi...
Emrah Ceyhan, Gabrielle Allen, Christopher D. Whit...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 6 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine