Wrappers for feature subset selection
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Cites background or methods from "Wrappers for feature subset selecti..."
...Following the classification of Kohavi and John (1997), variable rankingis afilter method: it is a preprocessing step, independent of the choice of the predictor....
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...As of 1997, when a special issue on relevance including several papers on variable and feature selection was published (Blum and Langley, 1997, Kohavi and John, 1997), few domains explored used more than 40 features....
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...The wrapper methodology, recently popularized by Kohavi and John (1997), offers a simple and powerful way to address the problem of variable selection, regardlessof the chosen learning machine....
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...For a discussion of relevancevs.usefulness and definitions of the various notions of relevance, see the review articles of Kohavi and John (1997) and Blum and Langley (1997)....
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...A wide range of search strategies can be used, including best-first, branch-and-bound, simulated annealing, genetic algorithms (see Kohavi and John, 1997, for areview)....
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