A Cross-Entropy-based Method to Perform Information-based Feature Selection

25 Jul 2016 Pietro Cassara Alessandro Rozza Mirco Nanni

From a machine learning point of view, identifying a subset of relevant features from a real data set can be useful to improve the results achieved by classification methods and to reduce their time and space complexity. To achieve this goal, feature selection methods are usually employed... (read more)

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