87 search results - page 9 / 18 » A Comparison between Recursive Neural Networks and Graph Neu... |
ICTAI
2008
IEEE
14 years 2 months ago
2008
IEEE
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
ICIAP
2005
ACM
14 years 7 months ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
IJON
2007
13 years 7 months ago
2007
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
GECCO
2009
Springer
14 years 11 days ago
2009
Springer
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. A common practice to gain invariant features in object recognition models is to aggregate multiple low-level features over a small neighborhood. However, the differences ...