889 search results - page 62 / 178 » Probabilistic Neural Network Models for Sequential Data |
126
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GECCO
2006
Springer
15 years 6 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 ...
111
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IJCNN
2008
IEEE
15 years 9 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...
112
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ESANN
2000
15 years 4 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...
127
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NN
2008
Springer
15 years 2 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...
162
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CORR
2011
Springer
14 years 6 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 ...