364 search results - page 5 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
ISCI
1998
14 years 9 months ago
1998
We report new results on the corner classification approach to training feedforward neural networks. It is shown that a prescriptive learning procedure where the weights are simp...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
VLSISP
2002
14 years 9 months ago
2002
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...