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BC
2002
193views more  BC 2002»
13 years 6 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
BMCBI
2004
205views more  BMCBI 2004»
13 years 6 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
CCR
2004
143views more  CCR 2004»
13 years 6 months ago
The cutting EDGE of IP router configuration
Abstract-- Human error in configuring routers undermines attempts to provide reliable, predictable end-to-end performance on IP networks. Manual configuration, while expensive and ...
Donald F. Caldwell, Anna Gilbert, Joel Gottlieb, A...
COGSCI
2004
142views more  COGSCI 2004»
13 years 6 months ago
Characterizing perceptual learning with external noise
Performance in perceptual tasks often improves with practice. This effect is known as `perceptual learning,' and it has been the source of a great deal of interest and debate...
Jason M. Gold, Allison B. Sekuler, Partrick J. Ben...
CPHYSICS
2004
87views more  CPHYSICS 2004»
13 years 6 months ago
Vlasov simulations on an adaptive phase-space grid
We introduce here a new method for the numerical resolution of the Vlasov equation on a phase space grid using an adaptive semi-Lagrangian method. The adaptivity is obtained throu...
Michael Gutnic, Matthieu Haefele, I. Paun, Eric So...
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