A simple algorithm for convex hull determination in high dimensions
Selecting suitable data for neural network training, out of a larger set, is an important task. For approximation problems, as the role of the model is a nonlinear interpolator, the training data should cover the whole range where the model must be used, i.e., the samples belonging to the convex hul...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | bookPart |
| Idioma: | eng |
| Publicado em: |
2014
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/4778 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/4778 |