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AAAI
2011
14 years 6 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
CORR
2010
Springer
151views Education» more  CORR 2010»
15 years 4 months ago
Adding a referee to an interconnection network: What can(not) be computed in one round
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...
Florent Becker, Martín Matamala, Nicolas Ni...
ICDCS
1997
IEEE
15 years 10 months ago
Predictable Network Computing
Clusters of networked, off-the-shelf workstations are currently used for computationintensive, parallel applications. However, it is hardly possible to predict the timing behaviou...
Andreas Polze, Gerhard Fohler, Matthias Werner
DAC
1999
ACM
15 years 10 months ago
Distributed Application Development with Inferno
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...
Ravi Sharma
CLUSTER
2011
IEEE
14 years 6 months ago
A mobility-based cluster formation algorithm for wireless mobile ad-hoc networks
  In the last decade, numerous efforts have been devoted to design efficient algorithms for clustering the  wireless mobile ad‐hoc networks (MANET) consider...
Javad Akbari Torkestani, Mohammad Reza Meybodi