BibTeX
@MISC{_constructingnominal,
author = {},
title = {Constructing Nominal X-of-N Attributes},
year = {}
}
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Abstract
Most constructive induction researchers focus only on new boolean attributes This paper reports a new constructive induction algorithm, called XofN, that constructs new nominal attributes in the form of X-of-N representations An X-of-N is a Bet containing one or more attribute-value pairs For a given instance, its value corresponds to the number of its at tribute-value pairs that are true The promising preliminary experimental results, on both artificial and real-world domains, show that constructing new nominal attributes in the form of X-of-N representations can significantly improve the performance of selective induction in terms of both higher prediction accuracy and lower theory complexity 1
Keyphrases
nominal x-of-n attribute new nominal attribute x-of-n representation prediction accuracy attribute-value pair selective induction promising preliminary experimental result tribute-value pair new constructive induction algorithm theory complexity constructive induction researcher real-world domain
