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ICANN
2007
Springer
15 years 3 months ago
Multi-dimensional Recurrent Neural Networks
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Alex Graves, Santiago Fernández, Jürge...
ESANN
2007
14 years 11 months ago
Spiral Recurrent Neural Network for Online Learning
Huaien Gao, Rudolf Sollacher, Hans-Peter Kriegel
NIPS
2000
14 years 10 months ago
Position Variance, Recurrence and Perceptual Learning
Stimulus arrays are inevitably presented at different positions on the retina in visual tasks, even those that nominally require fixation. In particular, this applies to many perc...
Zhaoping Li, Peter Dayan
CORR
2010
Springer
155views Education» more  CORR 2010»
14 years 7 months ago
A QoS Provisioning Recurrent Neural Network based Call Admission Control for beyond 3G Networks
The Call admission control (CAC) is one of the Radio Resource Management (RRM) techniques that plays influential role in ensuring the desired Quality of Service (QoS) to the users...
H. S. Ramesh Babu, Gowrishankar, P. S. Satyanaraya...
ICONIP
2010
14 years 8 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