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» Probabilistic Inference in Queueing Networks
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UAI
1998
13 years 7 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
IPCCC
2007
IEEE
14 years 2 days ago
Adaptive Probabilistic Scheduling for a Cellular Emergency Network
Currently, wireless priority services (WPS) are provided using call queueing with a weighted round-robin schedule based on a fixed parameter. In this paper, we introduce a flexi...
Jiazhen Zhou, C. Beard
JAIR
2011
129views more  JAIR 2011»
13 years 23 days ago
Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference
Previous studies have demonstrated that encoding a Bayesian network into a SAT formula and then performing weighted model counting using a backtracking search algorithm can be an ...
Wei Li 0002, Pascal Poupart, Peter van Beek
AAAI
2011
12 years 5 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
ICDCS
2006
IEEE
13 years 12 months ago
A Loss and Queuing-Delay Controller for Router Buffer Management
— Active queue management (AQM) in routers has been proposed as a solution to some of the scalability issues associated with TCP’s pure end-to-end approach to congestion contro...
Long Le, Kevin Jeffay, F. Donelson Smith