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Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) doi:10.1016/j.asoc.2015.06.012. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.
github.com/jpison/GAparsimony |
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