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» On Generalization by Neural Networks
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ANNS
2010
14 years 11 months ago
Search Space Restriction of Neuro-evolution through Constrained Modularization of Neural Networks
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
Christian W. Rempis, Frank Pasemann
ICANN
2010
Springer
15 years 5 months ago
Cell Microscopic Segmentation with Spiking Neuron Networks
Abstract. Spiking Neuron Networks (SNNs) overcome the computational power of neural networks made of thresholds or sigmoidal units. Indeed, SNNs add a new dimension, the temporal a...
Boudjelal Meftah, Olivier Lezoray, Michel Lecluse,...
CDC
2008
IEEE
152views Control Systems» more  CDC 2008»
15 years 10 months ago
Discrete-time sliding mode neural observer for continuous time mechanical systems
— This paper proposes a novel discrete­time veloc­ ity observer which uses neural network and sliding mode for unknown continuous time mechanical systems. The neural observer i...
Juan Resendiz, Wen Yu, Leonid M. Fridman
TNN
2008
177views more  TNN 2008»
15 years 4 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
CA
2003
IEEE
15 years 9 months ago
Expressive Gesture Animation Based on Non Parametric Learning of Sensory-Motor Models
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
Sylvie Gibet, Pierre-Francois Marteau