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Showing 1 to 1 of 1 for “"feature selection, EBIC, penalized methods"”.
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High dimensional feature selection under interactive models
… data boosts the popularity of high dimensional feature selection. High dimensional feature selection aims to select relevant features from the suspected feature space by removing redundant features. Among high feature selection studies, a large number have considered main effects only, although …