234 search results - page 18 / 47 » Lightweight Task Graph Inference for Distributed Application... |
AAAI
2010
15 years 1 months ago
2010
Lifted inference, handling whole sets of indistinguishable objects together, is critical to the effective application of probabilistic relational models to realistic real world ta...
101
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ICIP
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
119
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HPDC
2010
IEEE
15 years 22 days ago
2010
IEEE
Modern scientific collaborations have opened up the opportunity of solving complex problems that involve multidisciplinary expertise and large-scale computational experiments. The...
123
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AI
2010
Springer
14 years 11 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
111
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BMCBI
2005
14 years 11 months ago
2005
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...