889 search results - page 62 / 178 » Probabilistic Neural Network Models for Sequential Data |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
ESANN
2000
13 years 9 months ago
2000
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
NN
2008
Springer
13 years 8 months ago
2008
Springer
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
CORR
2011
Springer
12 years 12 months ago
2011
Springer
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...