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» Learning grammatical structure with Echo State Networks
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ESANN
2007
13 years 9 months ago
Systematicity in sentence processing with a recursive self-organizing neural network
Abstract. As potential candidates for human cognition, connectionist models of sentence processing must learn to behave systematically by generalizing from a small traning set. It ...
Igor Farkas, Matthew W. Crocker
ESANN
2007
13 years 9 months ago
Several ways to solve the MSO problem
The so called MSO-problem, – a simple superposition of two or more sinusoidal waves –, has recently been discussed as a benchmark problem for reservoir computing and was shown ...
Jochen J. Steil
ACL
2004
13 years 9 months ago
Enriching the Output of a Parser Using Memory-based Learning
We describe a method for enriching the output of a parser with information available in a corpus. The method is based on graph rewriting using memorybased learning, applied to dep...
Valentin Jijkoun, Maarten de Rijke
ESANN
2007
13 years 9 months ago
Intrinsic plasticity for reservoir learning algorithms
One of the most difficult problems in using dynamic reservoirs like echo state networks for signal processing is the choice of reservoir network parameters like connectivity or spe...
Marion Wardermann, Jochen J. Steil
ICONIP
2010
13 years 6 months ago
Improving Recurrent Neural Network Performance Using Transfer Entropy
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
Oliver Obst, Joschka Boedecker, Minoru Asada