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» First-order probabilistic inference
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UAI
2004
13 years 11 months ago
An Empirical Evaluation of Possible Variations of Lazy Propagation
As real-world Bayesian networks continue to grow larger and more complex, it is important to investigate the possibilities for improving the performance of existing algorithms of ...
Andres Madsen
UAI
1997
13 years 11 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
AAAI
2012
12 years 8 days ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
14 years 4 months ago
Representing Tuple and Attribute Uncertainty in Probabilistic Databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources — sensor data, experimental data, data from ...
Prithviraj Sen, Amol Deshpande, Lise Getoor
CIA
2007
Springer
14 years 4 months ago
A Probabilistic Framework for Decentralized Management of Trust and Quality
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
Le-Hung Vu, Karl Aberer