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ESANN
2006
13 years 8 months ago
Evolino for recurrent support vector machines
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...
Jürgen Schmidhuber, Matteo Gagliolo, Daan Wie...
ESANN
2004
13 years 8 months ago
Face Recognition Using Recurrent High-Order Associative Memories
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
Iulian B. Ciocoiu
VTC
2006
IEEE
110views Communications» more  VTC 2006»
14 years 1 months ago
Recurrent Neural Network Based Narrowband Channel Prediction
Abstract—In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction. Three differ...
Wei Liu, Lie-Liang Yang, Lajos Hanzo
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 27 days ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
IJON
1998
140views more  IJON 1998»
13 years 7 months ago
Comment on "Discrete-time recurrent neural network architectures: A unifying review"
Paper [1] aimed at providing a unified presentation of neural network architectures. We show in the present comment (i) that the canonical form of recurrent neural networks presen...
Léon Personnaz, Gérard Dreyfus