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» Representing Uncertainty in RuleML
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RSFDGRC
2011
Springer
287views Data Mining» more  RSFDGRC 2011»
12 years 10 months ago
Towards Faster Estimation of Statistics and ODEs Under Interval, P-Box, and Fuzzy Uncertainty: From Interval Computations to Rou
Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In interval comp...
Vladik Kreinovich
CCE
2007
13 years 7 months ago
An agent-based approach for supply chain retrofitting under uncertainty
In this work, decisions that have a long lasting effect on the SC such as the design and retrofit of a production/distribution network are considered. The retrofitting tasks are a...
Fernando D. Mele, Gonzalo Guillén, Antonio ...
TASLP
2010
144views more  TASLP 2010»
13 years 2 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
ICDE
2002
IEEE
149views Database» more  ICDE 2002»
14 years 9 months ago
GADT: A Probability Space ADT for Representing and Querying the Physical World
Large sensor networks are being widely deployed for measurement, detection, and monitoring applications. Many of these applications involve database systems to store and process d...
Anton Faradjian, Johannes Gehrke, Philippe Bonnet
IJAR
2010
151views more  IJAR 2010»
13 years 6 months ago
Envisioning uncertainty in geospatial information
Geospatial Reasoning has been an essential aspect of military planning since the invention of cartography. Although maps have always been a focal point for developing situational ...
Kathryn B. Laskey, Edward J. Wright, Paulo Cesar G...