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» Optimal Information Propagation in Sensor Networks
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PASTE
2010
ACM
13 years 11 months ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta
LCTRTS
2009
Springer
14 years 1 months ago
Eliminating the call stack to save RAM
Most programming languages support a call stack in the programming model and also in the runtime system. We show that for applications targeting low-power embedded microcontroller...
Xuejun Yang, Nathan Cooprider, John Regehr
PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 6 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
ATAL
2010
Springer
13 years 7 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
FGR
2008
IEEE
227views Biometrics» more  FGR 2008»
14 years 20 days ago
Ambient intelligence as the bridge to the future of pervasive computing
One prediction about this future of pervasive technology is that people will carry the tools needed to interface with technological resources sprinkled through out the environment...
Christopher Richard Wren, Yuri A. Ivanov