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IJAR
2008
161views more  IJAR 2008»
13 years 5 months ago
Bayesian learning for a class of priors with prescribed marginals
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
Hermann Held, Thomas Augustin, Elmar Kriegler
CORR
2006
Springer
119views Education» more  CORR 2006»
13 years 5 months ago
Network Inference from Co-Occurrences
The study of networked systems is an emerging field, impacting almost every area of engineering and science, including the important domains of communication systems, biology, soc...
Michael Rabbat, Mário A. T. Figueiredo, Rob...
SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
14 years 5 months ago
Event queries on correlated probabilistic streams
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Christopher Ré, Dan Suciu, Julie Letchner, ...
MOBICOM
2004
ACM
13 years 10 months ago
Power conservation and quality of surveillance in target tracking sensor networks
Target tracking is an important application of wireless sensor networks. In this application, the sensor nodes collectively monitor and track the movement of an event or target ob...
Chao Gui, Prasant Mohapatra
MOBICOM
2004
ACM
13 years 10 months ago
Localization for mobile sensor networks
Many sensor network applications require location awareness, but it is often too expensive to include a GPS receiver in a sensor network node. Hence, localization schemes for sens...
Lingxuan Hu, David Evans