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...

Full description

Bibliographic Details

Published in:	Journal of statistical software Vol. 80; no. 7; pp. 1 - 25
Main Authors:	Lagani, Vincenzo, Athineou, Giorgos, Farcomeni, Alessio, Tsagris, Michail, Tsamardinos, Ioannis
Format:	Journal Article
Language:	English
Published:	Foundation for Open Access Statistics 01.09.2017
Subjects:	constraint-based algorithms feature selection multiple predictive signatures
ISSN:	1548-7660, 1548-7660
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!