889 search results - page 15 / 178 » Probabilistic Neural Network Models for Sequential Data |
118
Voted
ICANN
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
105
Voted
ANSS
1998
IEEE
15 years 7 months ago
1998
IEEE
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
110
Voted
ICANN
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
131
Voted
KES
2006
Springer
15 years 2 months ago
2006
Springer
This paper describes an evaluation of a neural network technique for modelling fuel spray penetration in the cylinder of a diesel internal combustion engine. The model was implemen...
130
Voted
HIS
2008
15 years 4 months ago
2008
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...