Regularized greedy algorithms for network training with data noise (Q1774153)
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scientific article; zbMATH DE number 2162512
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Regularized greedy algorithms for network training with data noise |
scientific article; zbMATH DE number 2162512 |
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Regularized greedy algorithms for network training with data noise (English)
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29 April 2005
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The aim of this paper is to construct a modified greedy algorithm applicable to an ill-posed function approximation problem in presence of data noise. The authors provide a detailed convergence analysis of the algorithm and discuss the choice of the iteration parameters. Applications to neural networks are presented.
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Greedy approximation
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data noise
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neural networks
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regularization
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training
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