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» On Generalization by Neural Networks
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NPL
2000
135views more  NPL 2000»
15 years 6 months ago
Towards the Optimal Learning Rate for Backpropagation
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
Danilo P. Mandic, Jonathon A. Chambers
NN
2007
Springer
106views Neural Networks» more  NN 2007»
15 years 6 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
ICONIP
2008
15 years 8 months ago
On Weight-Noise-Injection Training
Abstract. While injecting weight noise during training has been proposed for more than a decade to improve the convergence, generalization and fault tolerance of a neural network, ...
Kevin Ho, Chi-Sing Leung, John Sum
SENSYS
2006
ACM
16 years 17 days ago
GRAIL: general real-time adaptable indoor localization
Yingying Chen, John-Austen Francisco, Konstantinos...
EOR
2010
63views more  EOR 2010»
15 years 6 months ago
Topological network design of general, finite, multi-server queueing networks
J. MacGregor Smith, Frederico R. B. Cruz, Tom Van ...