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» On Generalization by Neural Networks
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136
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BMCBI
2008
153views more  BMCBI 2008»
15 years 3 months ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...
ANNPR
2008
Springer
15 years 5 months ago
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
NN
2007
Springer
15 years 3 months ago
Edge of chaos and prediction of computational performance for neural circuit models
We analyze in this article the significance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ...
Robert A. Legenstein, Wolfgang Maass
128
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Modeling Cortical Maps with Feed-Backs
Abstract— High-level specification of how the brain represents and categorizes the causes of its sensory input allows to link “what is to be done” (perceptual task) with “...
Thierry Viéville, Pierre Kornprobst
106
Voted
NN
2002
Springer
108views Neural Networks» more  NN 2002»
15 years 3 months ago
Dopamine: generalization and bonuses
In the temporal difference model of primate dopamine neurons, their phasic activity reports a prediction error for future reward. This model is supported by a wealth of experiment...
Sham Kakade, Peter Dayan