Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems

Abstract

Pure feature selection, where variables are chosen or not to be in the training data set, still remains as an unsolved problem, especially when the dimensionality is high. Recently, the Forward-Backward Search algorithm using the Delta Test to evaluate a possible solution was presented, showing a good performance. However, due to the locality of the search… (More)
DOI: 10.1007/978-3-642-04274-4_1

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