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127
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AAAI
2011
13 years 12 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Abstract—In this paper we ask which properties of a distributed network can be computed from a few amount of local information provided by its nodes. The distributed model we con...
ICDCS
1997
IEEE
15 years 4 months ago
1997
IEEE
Clusters of networked, off-the-shelf workstations are currently used for computationintensive, parallel applications. However, it is hardly possible to predict the timing behaviou...
DAC
1999
ACM
15 years 4 months ago
1999
ACM
Distributed computing has taken a new importance in order to meet the requirements of users demanding information “anytime, anywhere.” Inferno facilitates the creation and sup...
182
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CLUSTER
2011
IEEE
13 years 11 months ago
2011
IEEE
In the last decade, numerous efforts have been devoted to design efficient algorithms for clustering the wireless mobile ad‐hoc networks (MANET) consider...