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» On Computing Functions with Uncertainty
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SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
15 years 9 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
62
Voted
CCS
2007
ACM
15 years 3 months ago
An information-theoretic model for adaptive side-channel attacks
We present a model of adaptive side-channel attacks which we combine with information-theoretic metrics to quantify the information revealed to an attacker. This allows us to expr...
Boris Köpf, David A. Basin
CEC
2009
IEEE
15 years 1 months ago
A dynamic artificial immune algorithm applied to challenging benchmarking problems
Abstract-- In many real-world scenarios, in contrast to standard benchmark optimization problems, we may face some uncertainties regarding the objective function. One source of the...
Fabrício Olivetti de França, Fernand...
EUROSSC
2009
Springer
15 years 23 days ago
Using Dempster-Shafer Theory of Evidence for Situation Inference
Abstract. In the domain of ubiquitous computing, the ability to identify the occurrence of situations is a core function of being ’contextaware’. Given the uncertain nature of ...
Susan McKeever, Juan Ye, Lorcan Coyle, Simon A. Do...
88
Voted
IDA
2010
Springer
14 years 8 months ago
Three alternative combinatorial formulations of the theory of evidence
In this paper we introduce three alternative combinatorial formulations of the theory of evidence (ToE), by proving that both plausibility and commonality functions share the stru...
Fabio Cuzzolin