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» An Artificial Chemistry for Networking
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ECAI
2006
Springer
15 years 10 months ago
Smoothed Particle Filtering for Dynamic Bayesian Networks
Particle filtering (PF) for dynamic Bayesian networks (DBNs) with discrete-state spaces includes a resampling step which concentrates samples according to their relative weight in ...
Theodore Charitos
ECAI
2008
Springer
15 years 8 months ago
A New Approach to Planning in Networks
Control of networks like those for transportation, power distribution, communication to name a few, provides challenges to planning and scheduling. Many problems can be defined in ...
Jussi Rintanen
AMC
2008
99views more  AMC 2008»
15 years 6 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
ANTSW
2010
Springer
15 years 1 months ago
Short and Robust Communication Paths in Dynamic Wireless Networks
Abstract. We consider the problem of finding and maintaining communication paths in wireless mobile ad hoc networks (MANET). We consider this problem as a bi-objective problem when...
Yoann Pigné, Frédéric Guinand
EVOW
2009
Springer
16 years 1 months ago
Iterated Local Search for Minimum Power Symmetric Connectivity in Wireless Networks
The problem of finding a symmetric connectivity topology with minimum power consumption in a wireless ad-hoc network is NPhard. This work presents a new iterated local search to s...
Steffen Wolf, Peter Merz