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TNN
2008
177views more  TNN 2008»
15 years 3 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
PPSN
1992
Springer
15 years 8 months ago
Structure Evolution and Incomplete Induction
We present an application of arti cial neural networks to machine condition monitoring. Since several signal preprocessing methods produce high dimensional feature vectors there i...
Reinhard Lohmann
NN
2007
Springer
15 years 3 months ago
A neural model of decision-making by the superior colicullus in an antisaccade task
In the antisaccade paradigm subjects are instructed to perform eye movements in the opposite direction from the location of a visually appearing stimulus while they are fixating ...
Vassilis Cutsuridis, Nikolaos Smyrnis, Ioannis Evd...
159
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EUSFLAT
2009
184views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
Recurrent Neural Kalman Filter Identification and Indirect Adaptive Control of a Continuous Stirred Tank Bioprocess
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Ieroham S. Baruch, Carlos Román Mariaca Gas...
NN
1998
Springer
15 years 3 months ago
A neural model of the saccade generator in the reticular formation
: 397 Words 20 Text Pages 5 Appendix Pages 5 Reference Pages 5 Table and Figure Caption Pages 17 Figures, 1 Table Running Title: Saccade Generator Model xSupported in part by the D...
Gregory Gancarz, Stephen Grossberg