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CCECE
2006
IEEE
15 years 1 months ago
Modelling and Emulation of Multifractal Noise in Performance Evaluation of Mesh Networks
This paper describes a model and a setup for emulating fractal and multifractal noise for the measurement and evaluation of performance of ZigBee mesh networks intended for harsh ...
Lily Woo, Witold Kinsner, Ken Ferens, J. Diamond
ICANN
2010
Springer
14 years 10 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
SBP
2012
Springer
13 years 5 months ago
The Impact of Network Structure on the Perturbation Dynamics of a Multi-agent Economic Model
Complex adaptive systems (CAS) modeling has become a common tool to study the behavioral dynamics of agents in a broad range of disciplines from ecology to economics. Many modelers...
Marshall A. Kuypers, Walter E. Beyeler, Robert J. ...
GLOBECOM
2009
IEEE
15 years 4 months ago
Modeling and Characterizing User Experience in a Cloud Server Based Mobile Gaming Approach
—With the evolution of mobile devices and networks, and the growing trend of mobile Internet access, rich, multi-player gaming using mobile devices, similar to PC-based Internet ...
Shaoxuan Wang, Sujit Dey
NIPS
2008
14 years 11 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...