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» Robust Probabilistic Inference in Distributed Systems
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ICDE
2011
IEEE
237views Database» more  ICDE 2011»
12 years 11 months ago
Creating probabilistic databases from imprecise time-series data
— Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to t...
Saket Sathe, Hoyoung Jeung, Karl Aberer
SASO
2009
IEEE
14 years 2 months ago
Evolution of Probabilistic Consensus in Digital Organisms
—The complexity of distributed computing systems and their increasing interaction with the physical world impose challenging requirements in terms of adaptation, robustness, and ...
David B. Knoester, Philip K. McKinley
IPSN
2005
Springer
14 years 1 months ago
Robust computation of aggregates in wireless sensor networks: distributed randomized algorithms and analysis
A wireless sensor network consists of a large number of small, resource-constrained devices and usually operates in hostile environments that are prone to link and node failures. ...
Jen-Yeu Chen, Gopal Pandurangan, Dongyan Xu
INFFUS
2010
143views more  INFFUS 2010»
13 years 6 months ago
A multi-agent systems approach to distributed bayesian information fusion
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
ICDE
2010
IEEE
224views Database» more  ICDE 2010»
14 years 7 months ago
Probabilistic Declarative Information Extraction
Abstract-Unstructured text represents a large fraction of the world's data. It often contain snippets of structured information within them (e.g., people's names and zip ...
Daisy Zhe Wang, Eirinaios Michelakis, Joseph M. He...