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LPNMR
2009
Springer
14 years 3 days ago
Belief Logic Programming: Uncertainty Reasoning with Correlation of Evidence
Abstract. Belief Logic Programming (BLP) is a novel form of quantitative logic programming in the presence of uncertain and inconsistent information, which was designed to be able ...
Hui Wan, Michael Kifer
VIS
2009
IEEE
154views Visualization» more  VIS 2009»
14 years 8 months ago
A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets
Many techniques have been proposed to show uncertainty in data visualizations. However, very little is known about their effectiveness in conveying meaningful information. In this ...
Jibonananda Sanyal, Song Zhang, Gargi Bhattachar...
ICDE
2009
IEEE
214views Database» more  ICDE 2009»
14 years 9 months ago
Ranking with Uncertain Scores
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
Mohamed A. Soliman, Ihab F. Ilyas
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
14 years 1 months ago
Representing Tuple and Attribute Uncertainty in Probabilistic Databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources — sensor data, experimental data, data from ...
Prithviraj Sen, Amol Deshpande, Lise Getoor
ICML
2007
IEEE
14 years 8 months ago
Percentile optimization in uncertain Markov decision processes with application to efficient exploration
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
Erick Delage, Shie Mannor