182 search results - page 14 / 37 » Neural Network Ensembles from Training Set Expansions |
BMCBI
2008
13 years 8 months ago
2008
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
ENGL
2007
13 years 7 months ago
2007
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
NN
2007
Springer
13 years 7 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
ESANN
2000
13 years 9 months ago
2000
A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, whi...