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Lecture Notes in Computer Science
We propose a sequential forward feature selection method to find a subset of features that are most relevant to the classification task. Our approach uses novel estimation of the conditional mutual information between candidate feature and classes, given a subset of already selected features which is utilized as a classifier independent criterion for evaluation of feature subsets. The proposed mMIFS-U algorithm is applied to text classification problem and compared with MIFS method and MIFS-Udoi:10.1007/978-3-540-76725-1_44 dblp:conf/ciarp/NovovicovaSHP07 fatcat:yksosewbnvgh7gztabk3vj2guq