Evolutionary binary feature selection using adaptive ebola optimization search algorithm for high-dimensional datasets
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DOI: 10.1371/journal.pone.0282812
Abstract: Feature selection problem represents the field of study that requires approximate algorithms to identify discriminative and optimally combined features. The evaluation and suitability of these selected features are often analyzed using classifiers. These features are… read more here.
Keywords: using hbeosa; dimensional datasets; hbeosa; hbeosa ffa ... See more keywords