1. Feature selectionIn machine learning and statistics, feature selection, also known as variable selection, feature reduction, attribute selection or variable subset selection, is the technique of selecting a subset of relevant features for building robust learning models. When applied in biology domain, the technique is also called discriminative gene selection, which detects influential genes based on DNA microarray experiments.
Read “Feature selection” on English Wikipedia
Read “特徴選択” on Japanese Wikipedia
Read “Feature selection” on DBpedia
Read “Feature selection” on English Wikipedia
Read “特徴選択” on Japanese Wikipedia
Read “Feature selection” on DBpedia
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