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Probabilistic database

Known as: Probabilistic databases 
Most real databases contain data whose correctness is uncertain. In order to work with such data, there is a need to quantify the integrity of the… 
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Papers overview

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2017
2017
Zero-shot learning, which studies the problem of object classification for categories for which we have no training examples, is… 
Review
2016
Review
2016
Over the past one to two decades, probabilistic forecasts have become more popular. Probabilistic forecasts take uncertainty into… 
2015
2015
We consider in this paper static analysis of the possible executions of data-dependent applications, namely applications whose… 
Highly Cited
2014
Highly Cited
2014
This paper introduces human energy harvesting medium access control (MAC) protocol (HEH-BMAC), a hybrid polling MAC suitable for… 
2012
2012
Concept location is a common task in program comprehension techniques, essential in many approaches used for software care and… 
2007
2007
From data mining to computer vision, from visual surveillance to biometrics research, from biomedical imaging to bioinformatics… 
2006
2006
Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent… 
2003
2003
This paper presents a new hybrid classifier that combines the probability based Bayesian Network paradigm with the Nearest… 
2001
2001
The article describes a novel theoretical framework for uniform storage and management of diverse probabilistic information. The…