736 search results - page 13 / 148 » Pruning Neural Networks with Distribution Estimation Algorit... |
NCA
2011
IEEE
13 years 3 months ago
2011
IEEE
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
ICANN
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. A procedure to estimate the parameters of GARCH processes with non-parametric innovations is proposed. We also design an improved technique to estimate the density of hea...