299 search results - page 40 / 60 » Multi-dimensional Recurrent Neural Networks |
NECO
2007
13 years 9 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
IJCAI
2001
13 years 11 months ago
2001
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
ICANN
2003
Springer
14 years 3 months ago
2003
Springer
We have proposed that the basal ganglia act as the central switching mechanism for the action selection system of the vertebrate brain. Simulation of our functional model of basal ...
NN
2002
Springer
13 years 9 months ago
2002
Springer
Most of source separation methods focus on stationary sources, so higher-order statistics is necessary for successful separation, unless sources are temporally correlated. For non...