364 search results - page 3 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
ESANN
2001
13 years 11 months ago
2001
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
NIPS
2008
13 years 11 months ago
2008
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
ICANN
2005
Springer
14 years 3 months ago
2005
Springer
Despite the well-known performances and the theoretical power of neural networks, learning and generalizing are sometimes very difficult. In this article, we investigate how short ...
IJCNN
2000
IEEE
14 years 2 months ago
2000
IEEE
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
GECCO
2010
Springer
14 years 2 months ago
2010
Springer
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...