Sciweavers

1205 search results - page 27 / 241
» Quantization for distributed estimation using neural network...
Sort
View
76
Voted
ICANN
2010
Springer
14 years 10 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
14 years 10 months ago
Context-dependent multi-class classification with unknown observation and class distributions with applications to bioinformatic
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
Alex S. Baras, John S. Baras
IWANN
1999
Springer
15 years 1 months ago
Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection
A crucial problem in non-linear time series forecasting is to determine its auto-regressive order, in particular when the prediction method is non-linear. We show in this paper tha...
Michel Verleysen, Eric de Bodt, Amaury Lendasse
75
Voted
NECO
2007
129views more  NECO 2007»
14 years 9 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen