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Computational and Mathematical Methods in Medicine
Volume 2017, Article ID 7907163, 18 pages
https://doi.org/10.1155/2017/7907163
Research Article

A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data

Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany

Correspondence should be addressed to Andrea Bommert; ed.dnumtrod-ut.kitsitats@tremmob

Received 22 February 2017; Revised 3 May 2017; Accepted 5 June 2017; Published 1 August 2017

Academic Editor: Benjamin Hofner

Copyright © 2017 Andrea Bommert et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Results of the study for finding desirable configurations for all stability measures.

  1. Supplementary Material