768 search results - page 53 / 154 » Information Geometry of Neural Networks |
151
Voted
GECCO
2010
Springer
15 years 8 months ago
2010
Springer
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
122
Voted
IJCNN
2008
IEEE
15 years 10 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...
206
Voted
JMLR
2006
15 years 3 months ago
2006
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
136
Voted
NN
2008
Springer
15 years 3 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...
179
Voted
TNN
2010
14 years 10 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...