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» Modeling the Telephone Call Network
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117
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IPSN
2005
Springer
15 years 10 months ago
Building up to macroprogramming: an intermediate language for sensor networks
Abstract— There is widespread agreement that a higher level programming model for sensor networks is needed. A variety of models have been developed, but the community is far fro...
Ryan Newton, Arvind, Matt Welsh
FAC
2008
139views more  FAC 2008»
15 years 4 months ago
Network invariants for real-time systems
We extend the approach of model checking parameterized networks of processes by means of network invariants to the setting of real-time systems. We introduce timed transition stru...
Olga Grinchtein, Martin Leucker
MOBISYS
2004
ACM
16 years 4 months ago
Impact of Radio Irregularity on Wireless Sensor Networks
In this paper, we investigate the impact of radio irregularity on the communication performance in wireless sensor networks. Radio irregularity is a common phenomenon which arises...
Gang Zhou, Tian He, Sudha Krishnamurthy, John A. S...
NIPS
1997
15 years 5 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
152
Voted
UAI
1998
15 years 5 months ago
Context-specific approximation in probabilistic inference
There is evidence that the numbers in probabilistic inference don't really matter. This paper considers the idea that we can make a probabilistic model simpler by making fewe...
David Poole