143 search results - page 5 / 29 » Modeling Unreliable Observations in Bayesian Networks by Cre... |
INFOCOM
2012
IEEE
11 years 10 months ago
2012
IEEE
—Sensor deployment is a fundamental issue in a wireless sensor network, which often dictates the overall network performance. Previous studies on sensor deployment mainly focused...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Many statistical methods have been proposed to estimate causal models in classical situations with fewer variables than observations. However, modern datasets including gene expres...
ECCB
2003
IEEE
14 years 27 days ago
2003
IEEE
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
IJAR
2010
13 years 6 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
CDC
2009
IEEE
14 years 10 days ago
2009
IEEE
Abstract—This work considers the problem of reaching consensus in an unreliable linear consensus network. A solution to this problem is relevant for several tasks in multi-agent ...