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EUSFLAT
2007
117views Fuzzy Logic» more  EUSFLAT 2007»
13 years 6 months ago
Transforming Probability Intervals into Other Uncertainty Models
Probability intervals are imprecise probability assignments over elementary events. They constitute a very convenient tool to model uncertain information : two common cases are co...
Sébastien Destercke, Didier Dubois, Eric Ch...
ICDE
2011
IEEE
207views Database» more  ICDE 2011»
12 years 9 months ago
Monte Carlo query processing of uncertain multidimensional array data
— Array database systems are architected for scientific and engineering applications. In these applications, the value of a cell is often imprecise and uncertain. There are at le...
Tingjian Ge, David Grabiner, Stanley B. Zdonik
CAISE
2010
Springer
13 years 6 months ago
Probabilistic Models to Reconcile Complex Data from Inaccurate Data Sources
There is a large amount of data that is published on the Web and several techniques have been developed to extract and integrate data from Web sources. However, Web data are inhere...
Lorenzo Blanco, Valter Crescenzi, Paolo Merialdo, ...
CAISE
2006
Springer
13 years 9 months ago
Translating Standard Process Models to BPEL
Standardisation of languages in the field of business process management has long been an elusive goal. Recently though, consensus has built around one process implementation langu...
Chun Ouyang, Marlon Dumas, Stephan Breutel, Arthur...
ICONIP
2009
13 years 3 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa