Feature Selection with the <i>R</i> Package <b>MXM</b> : Discovering Statistically Equivalent Feature Subsets
- DOI
- 10.18637/jss.v080.i07
- Published
- 2017
- Container
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.18637/jss.v080.i07,
title = {Feature Selection with the
<i>R</i>
Package
<b>MXM</b>
: Discovering Statistically Equivalent Feature Subsets},
author = {Vincenzo Lagani and Giorgos Athineou and Alessio Farcomeni and Michail Tsagris and Ioannis Tsamardinos},
year = {2017},
journal = {Journal of Statistical Software},
doi = {10.18637/jss.v080.i07},
url = {https://doi.org/10.18637/jss.v080.i07}
}RIS
TY - JOUR
TI - Feature Selection with the
<i>R</i>
Package
<b>MXM</b>
: Discovering Statistically Equivalent Feature Subsets
AU - Vincenzo Lagani
AU - Giorgos Athineou
AU - Alessio Farcomeni
AU - Michail Tsagris
AU - Ioannis Tsamardinos
PY - 2017
JO - Journal of Statistical Software
DO - 10.18637/jss.v080.i07
UR - https://doi.org/10.18637/jss.v080.i07
ER - APA
Lagani, V., Athineou, G., Farcomeni, A., Tsagris, M., & Tsamardinos, I. (2017). Feature Selection with the <i>R</i> Package <b>MXM</b> : Discovering Statistically Equivalent Feature Subsets. Journal of Statistical Software. https://doi.org/10.18637/jss.v080.i07
Source records
- crossref · retrieved 2026-11-07T12:21:09.284Z