364 search results - page 8 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
92
Voted
ICPR
2004
IEEE
16 years 23 days ago
2004
IEEE
In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
90
Voted
IJON
2008
14 years 11 months ago
2008
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
ISCI
2002
14 years 11 months ago
2002
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
90
Voted
ICANN
2009
Springer
15 years 6 months ago
2009
Springer
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...