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RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
15 years 9 months ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
135
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IPSN
2003
Springer
15 years 9 months ago
Maximum Mutual Information Principle for Dynamic Sensor Query Problems
In this paper we study a dynamic sensor selection method for Bayesian filtering problems. In particular we consider the distributed Bayesian Filtering strategy given in [1] and sh...
Emre Ertin, John W. Fisher, Lee C. Potter
149
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KES
2007
Springer
15 years 10 months ago
Credal Networks for Operational Risk Measurement and Management
According to widely accepted guidelines for self-regulation, the capital requirements of a bank should relate to the level of risk with respect to three different categories. Amon...
Alessandro Antonucci, Alberto Piatti, Marco Zaffal...
INFOCOM
2010
IEEE
15 years 2 months ago
Bayesian Inference for Localization in Cellular Networks
—In this paper, we present a general technique based on Bayesian inference to locate mobiles in cellular networks. We study the problem of localizing users in a cellular network ...
Hui Zang, François Baccelli, Jean Bolot
AI
2005
Springer
15 years 3 months ago
Bayesian network modelling through qualitative patterns
In designing a Bayesian network for an actual problem, developers need to bridge the gap between ematical abstractions offered by the Bayesian-network formalism and the features o...
Peter J. F. Lucas