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UAI
1993
15 years 3 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Wai Lam, Fahiem Bacchus
WIOPT
2010
IEEE
15 years 6 days ago
Energy efficient scheduling with power control for wireless networks
Scheduling of transmissions is one of the most fundamental problems in the context of wireless networks. In this article, we consider the problem of computing power efficient sched...
Bastian Katz, Markus Völker, Dorothea Wagner
100
Voted
ICDCS
2008
IEEE
15 years 8 months ago
Hotness-Aware Sensor Networks
In a realistic sensor network, in particular with a nonuniform deployment, sensor nodes inevitably have varying workloads. This causes a natural problem that some sensor nodes are...
Dong Li, Yanmin Zhu, Li Cui, Lionel M. Ni
P2P
2007
IEEE
161views Communications» more  P2P 2007»
15 years 8 months ago
The BitCod Client: A BitTorrent Clone using Network Coding
Network coding is an emerging field of research with sound and mature theory supporting it. Recent works shows that it has many benefits like improved fault tolerance, higher ...
Danny Bickson, Roy Borer
147
Voted
MOBIWAC
2009
ACM
15 years 7 months ago
Adaptive, direction-aware data dissemination for diverse sensor mobility
We consider sensor networks where the sensor nodes are attached on entities that move in a highly dynamic, heterogeneous manner. To capture this mobility diversity we introduce a ...
Azzedine Boukerche, Dionysios Efstathiou, Sotiris ...