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Approximate k-NN delta test minimization method using genetic algorithms: Application to time series
In many real world problems, the existence of irrelevant input variables (features) hinders the predictive quality of the models used to estimate the output variables. In particular, time series prediction often involves building large regressors of artificial variables that can contain irrelevant o...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2010
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.neucom.2009.11.032 http://cds.cern.ch/record/1359343 |