1316 search results - page 16 / 264 » Comparing mathematical models on the problem of network infe... |
TNN
2008
14 years 11 months ago
2008
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
115
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DSN
2011
IEEE
13 years 11 months ago
2011
IEEE
—We consider the problem of inferring link loss rates using passive measurements. Prior inference approaches are mainly built on the time correlation nature of packet losses. How...
110
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ICPR
2002
IEEE
16 years 23 days ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
SECON
2008
IEEE
15 years 6 months ago
2008
IEEE
—Traffic routing plays a critical role in determining the performance of a wireless mesh network. To investigate the best solution, existing work proposes to formulate the mesh ...
AAAI
2006
15 years 1 months ago
2006
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...