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» Using the Central Limit Theorem for Belief Network Learning
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WWW
2010
ACM
13 years 12 months ago
Mind the data skew: distributed inferencing by speeddating in elastic regions
Semantic Web data exhibits very skewed frequency distributions among terms. Efficient large-scale distributed reasoning methods should maintain load-balance in the face of such hi...
Spyros Kotoulas, Eyal Oren, Frank van Harmelen
IPSN
2009
Springer
13 years 11 months ago
Simultaneous placement and scheduling of sensors
We consider the problem of monitoring spatial phenomena, such as road speeds on a highway, using wireless sensors with limited battery life. A central question is to decide where ...
Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlo...
ECTEL
2006
Springer
13 years 8 months ago
Peer-to-peer Face-to-face Collaboration
In this paper, we present a proof of concept application of a technique that is designed explicitly for face to face collaboration software architectures. The objective is to minim...
Delfina Malandrino, Ilaria Manno
BMCBI
2007
135views more  BMCBI 2007»
13 years 5 months ago
Detecting multivariate differentially expressed genes
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...
Roland Nilsson, José M. Peña, Johan ...