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IJAR
2006
89views more  IJAR 2006»
15 years 6 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
PIMRC
2010
IEEE
15 years 4 months ago
Self-optimizing routing in MANETs with multi-class flows
In this paper we show how game theory and Gibbs sampling techniques can be used to design a self-optimizing algorithm for minimizing end-to-end delays for all flows in a multi-clas...
Pierre Coucheney, Bruno Gaujal, Corinne Touati
AUSAI
2004
Springer
15 years 12 months ago
An ACO Algorithm for the Most Probable Explanation Problem
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
Haipeng Guo, Prashanth R. Boddhireddy, William H. ...
VTC
2007
IEEE
161views Communications» more  VTC 2007»
16 years 22 days ago
Early Results on Hydra: A Flexible MAC/PHY Multihop Testbed
— Hydra is a flexible wireless network testbed being developed at UT Austin. Our focus is networks that support multiple wireless hops and where the network, especially the MAC,...
Ketan Mandke, Soon-Hyeok Choi, Gibeom Kim, Robert ...
INFFUS
2010
121views more  INFFUS 2010»
15 years 5 months ago
The statistical mechanics of belief sharing in multi-agent systems
- Many exciting, emerging applications require that a group of agents share a coherent view of the world given spatial distribution, incomplete and uncertain sensors, and communica...
Robin Glinton, Katia P. Sycara, David Scerri, Paul...