Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches
نویسندگان
چکیده
منابع مشابه
Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches
We address the feature subset selection problem for classification tasks. We examine the performance of two hybrid strategies that directly search on a ranked list of features and compare them with two widely used algorithms, the fast correlation based filter (FCBF) and sequential forward selection (SFS). The proposed hybrid approaches provide the possibility of efficiently applying any subset ...
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ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2012
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2012.03.061