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148
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EUSFLAT
2003
155views Fuzzy Logic» more  EUSFLAT 2003»
15 years 6 months ago
Bayesian networks for transport decision scenarios
Bayesian networks are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. We will analyze Bayesian network...
Alexander Holland
153
Voted
ADHOC
2006
128views more  ADHOC 2006»
15 years 5 months ago
A novel caching scheme for improving Internet-based mobile ad hoc networks performance
Internet-based mobile ad hoc network (IMANETIMANET) is an emerging technique that combines a wired network (e.g. Internet) and a mobile ad hoc network (MANETMANET) for developing ...
Sunho Lim, Wang-Chien Lee, Guohong Cao, Chita R. D...
102
Voted
ADCM
2000
45views more  ADCM 2000»
15 years 4 months ago
Training neural networks with noisy data as an ill-posed problem
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
Martin Burger, Heinz W. Engl
130
Voted
ALGOSENSORS
2007
Springer
15 years 11 months ago
Local Approximation Algorithms for Scheduling Problems in Sensor Networks
Patrik Floréen, Petteri Kaski, Topi Musto, ...