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ZENODO
Software . 2018
License: CC BY NC
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: CC BY NC
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: CC BY NC
Data sources: Datacite
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MXM: Feature Selection (Including Multiple Solutions) and Bayesian Networks

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Aug 2018 bah Publisher:ZenodoFunded by:EC | CAUSALPATH
Authors: Tsagris, Michail; Tsamardinos, Ioannis; Lagani, Vincenzo; Giorgos Athineou; Giorgos Borboudakis; Roumpelaki, Anna;

doi: 10.5281/zenodo.1410043 , 10.5281/zenodo.1410042

MXM: Feature Selection (Including Multiple Solutions) and Bayesian Networks

Abstract

Many feature selection methods for a wide range of response variables, including minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. Reference: Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets, Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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