Feature Selection with the R Package MXM : Discovering Statistically Equivalent Feature Subsets

The statistically equivalent signature (SES) algorithm is a method for feature selection inspired by the principles of constraint-based learning of Bayesian networks. Most of the currently available feature selection methods return only a single subset of features, supposedly the one with the highes...

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Veröffentlicht in:	Journal of statistical software Jg. 80; H. 7; S. 1 - 25
Hauptverfasser:	Lagani, Vincenzo, Athineou, Giorgos, Farcomeni, Alessio, Tsagris, Michail, Tsamardinos, Ioannis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Foundation for Open Access Statistics 01.09.2017
Schlagworte:	constraint-based algorithms feature selection multiple predictive signatures
ISSN:	1548-7660, 1548-7660
Online-Zugang:	Volltext
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