FeaLect: Feature seLection by computing statistical scores
نویسنده
چکیده
FeaLect is a feature selection method by statistically scoring the features. Several random subsets are sampled from the input data and for each random subset, various linear models are fitted using lars method. For each feature, a score is calculated based on the tendency of LASSO in including that feature in the models.
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تاریخ انتشار 2014