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EUSFLAT
2003
15 years 7 months ago
Stability of backpropagation learning rule
A control of real processes requires different approach to neural network learning. The presented modification of backpropagation learning algorithm changes a meaning of learning...
Petr Krupanský, Petr Pivoñka, Jiri D...
NIPS
2001
15 years 7 months ago
Reinforcement Learning with Long Short-Term Memory
This paper presents reinforcement learning with a Long ShortTerm Memory recurrent neural network: RL-LSTM. Model-free RL-LSTM using Advantage learning and directed exploration can...
Bram Bakker
127
Voted
NN
2006
Springer
15 years 5 months ago
A model of surround suppression through cortical feedback
Surround suppression occurs when a visual stimulus outside a neuron's classical receptive field causes a reduction in firing rate. It has become clear that several mechanisms...
Thomas J. Sullivan, Virginia R. de Sa
121
Voted
NN
2006
Springer
15 years 5 months ago
Homeostatic synaptic scaling in self-organizing maps
Various forms of the self-organizing map (SOM) have been proposed as models of cortical development [Choe Y., Miikkulainen R., (2004). Contour integration and segmentation with se...
Thomas J. Sullivan, Virginia R. de Sa
152
Voted
NN
2006
Springer
108views Neural Networks» more  NN 2006»
15 years 5 months ago
Performance analysis of LVQ algorithms: A statistical physics approach
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Anarta Ghosh, Michael Biehl, Barbara Hammer