364 search results - page 16 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
104
Voted
GECCO
2006
Springer
15 years 6 months ago
2006
Springer
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
127
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ICDAR
2003
IEEE
15 years 7 months ago
2003
IEEE
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
110
Voted
IROS
2006
IEEE
15 years 8 months ago
2006
IEEE
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
130
Voted
COLT
1995
Springer
15 years 6 months ago
1995
Springer
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
138
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ISCI
2008
15 years 2 months ago
2008
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...