374 search results - page 34 / 75 » Training the random neural network using quasi-Newton method... |
ESANN
2003
15 years 1 months ago
2003
Abstract. Application of neural networks for real world object recognition suffers from the need to acquire large quantities of labelled image data. We propose a solution that acq...
103
click to vote
IDEAL
2010
Springer
14 years 10 months ago
2010
Springer
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
123
click to vote
ISNN
2004
Springer
15 years 5 months ago
2004
Springer
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
CEC
2003
IEEE
15 years 5 months ago
2003
IEEE
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
101
click to vote
NIPS
2008
15 years 1 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...