889 search results - page 59 / 178 » Probabilistic Neural Network Models for Sequential Data |
ANNPR
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
IWANN
2001
Springer
14 years 18 days ago
2001
Springer
: Long-term rainfall prediction is a challenging task especially in the modern world where we are facing the major environmental problem of global warming. In general, climate and ...
ICASSP
2011
IEEE
12 years 12 months ago
2011
IEEE
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
NIPS
1992
13 years 9 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...