462 search results - page 10 / 93 » Verifying Properties of Neural Networks |
NN
2006
Springer
13 years 8 months ago
2006
Springer
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
NN
2006
Springer
13 years 8 months ago
2006
Springer
Recent computational approaches to action imitation have advocated the use of hierarchical representations in the perception and imitation of demonstrated actions. Hierarchical re...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
This paper proposes a novel approach for directly tuning the gaussian kernel matrix for one class learning. The popular gaussian kernel includes a free parameter, σ, that requires...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
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 ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— Higher order networks allow modelling of correlates and geometrically invariant properties. Current techniques for their development either require domain knowledge, or are con...