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NIPS
1998
15 years 1 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
UAI
1997
15 years 1 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
BMCBI
2008
139views more  BMCBI 2008»
14 years 12 months ago
Abbreviation definition identification based on automatic precision estimates
Background: The rapid growth of biomedical literature presents challenges for automatic text processing, and one of the challenges is abbreviation identification. The presence of ...
Sunghwan Sohn, Donald C. Comeau, Won Kim, W. John ...
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 12 months ago
Deploying Wireless Networks with Beeps
Abstract. We present the discrete beeping communication model, which assumes nodes have minimal knowledge about their environment and severely limited communication capabilities. S...
Alejandro Cornejo, Fabian Kuhn
CN
2006
60views more  CN 2006»
14 years 12 months ago
Loss strategies for competing AIMD flows
We study in this paper two competing AIMD flows that share a common bottleneck link. When congestion occurs, one (or both) flows will suffer a loss that will cause its throughput ...
Eitan Altman, Rachid El Azouzi, David Ros, Bruno T...