204 search results - page 7 / 41 » Learning locally minimax optimal Bayesian networks |
106
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ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
TIT
2008
14 years 9 months ago
2008
The decentralized sequential hypothesis testing problem is studied in sensor networks, where a set of sensors receive independent observations and send summary messages to the fusi...
PASTE
2010
ACM
15 years 2 months ago
2010
ACM
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
104
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IPSN
2009
Springer
15 years 4 months ago
2009
Springer
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
99
Voted
ML
2008
ACM
14 years 9 months ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...