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» Importance Sampling for Continuous Time Bayesian Networks
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INFOCOM
2010
IEEE
14 years 10 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
INFOCOM
2011
IEEE
14 years 3 months ago
Continuous multi-dimensional top-k query processing in sensor networks
—Top-k query has long been an important topic in many fields of computer science. Efficient implementation of the top-k queries is the key for information searching. With the n...
Hongbo Jiang, Jie Cheng, Dan Wang, Chonggang Wang,...
UAI
2004
15 years 1 months ago
An Empirical Evaluation of Possible Variations of Lazy Propagation
As real-world Bayesian networks continue to grow larger and more complex, it is important to investigate the possibilities for improving the performance of existing algorithms of ...
Andres Madsen
AROBOTS
2010
194views more  AROBOTS 2010»
14 years 10 months ago
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters
Abstract Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided wit...
Nicola Bellotto, Huosheng Hu
CEC
2010
IEEE
14 years 8 months ago
Evolved Bayesian Network models of rig operations in the gulf of Mexico
The operation of drilling rigs is highly expensive. It is therefore important to be able to identify and analyse variables affecting rig operations. We investigate the use of Genet...
François A. Fournier, John A. W. McCall, An...