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IJAR
2006
89views more  IJAR 2006»
15 years 4 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 2 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 10 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. ...
PERCOM
2004
ACM
16 years 4 months ago
Analyzing Connectivity-Based Multi-Hop Ad-hoc Positioning
We investigate the theoretical limits of positioning algorithms. In particular, we study scenarios where the nodes do not receive anchors directly (multi-hop) and where no physica...
Regina Bischoff, Roger Wattenhofer
CONEXT
2007
ACM
15 years 8 months ago
Exploring the routing complexity of mobile multicast: a semi-empirical study
Protocol extensions for a mobile Internet have been developed within the IETF, but a standard design of mobile multicast is still awaited. Multicast routing, when adapting its dis...
Matthias Wählisch, Thomas C. Schmidt