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ICANN
2010
Springer
13 years 7 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
ICANN
2005
Springer
13 years 11 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
SAB
2010
Springer
117views Optimization» more  SAB 2010»
13 years 4 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
ATAL
2010
Springer
13 years 7 months ago
How important are updating schemes in multi-agent systems? An illustration on a multi-turmite model
It is to date an open question to know how the updating methods affect the evolution of a multi-agent system. This question has been tackled for various complex systems such as ce...
Nazim Fatès, Vincent Chevrier
ICWN
2004
13 years 7 months ago
An Architecture Supporting Run-Time Upgrade of Proxy-Based Services in Ad Hoc Networks
Abstract-- In the proxy approach to Service Oriented Computing, a service advertises a proxy, which is searched for, retrieved and used by interested clients as a local handle to t...
Rohan Sen, Radu Handorean, Gregory Hackmann, Gruia...