641 search results - page 28 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
ANNPR
2006
Springer
15 years 1 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
NECO
2007
14 years 9 months ago
2007
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
104
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IJAR
2006
14 years 9 months ago
2006
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
112
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ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
ICTAI
2002
IEEE
15 years 2 months ago
2002
IEEE
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...