Finding rough and fuzzy-rough set reducts with SAT


Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern recognition and signal processing. In particular, solution to this has found successful application in tasks that involve datasets containing huge numbers of features (in… (More)
DOI: 10.1016/j.ins.2013.07.033


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