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» Learning from sensor network data
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UAI
1998
15 years 4 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
INTENV
2010
14 years 10 months ago
Energy Prediction in Smart Environments
In the past decade, smart home environment research has found application in many areas, such as activity recognition, visualization, and automation. However, less attention has be...
Chao Chen, Barnan Das, Diane J. Cook
FUIN
2008
108views more  FUIN 2008»
15 years 1 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
IJSNET
2007
169views more  IJSNET 2007»
15 years 3 months ago
ART: an asymmetric and reliable transport mechanism for wireless sensor networks
: Many applications developed for wireless sensor networks (WSNs) demand for Reliable communication service, since majority of these applications are event-critical applications. T...
Nurcan Tezcan, Wenye Wang
ICC
2008
IEEE
135views Communications» more  ICC 2008»
15 years 9 months ago
Using Soft-Line Recursive Response to Improve Query Aggregation in Wireless Sensor Networks
— In large Wireless Sensor Networks (WSNs), each hop might incur varying delays due to medium access contention, transmission and computation delays. Fast and efficient query re...
Xiaoming Lu, Matt Spear, Karl N. Levitt, Norman S....