descriptionPublicationkeyboard_double_arrow_right Article 26 Feb 2014 English Publisher:WileyJournal:Biometrical Journal, volume 56, pages 588-593 (issn: 0323-3847, eissn: 1521-4036,

Authors: Matthias Schmid; Anne-Laure Boulesteix;

doi: 10.1002/bimj.201300226

pmid: 24615669

Machine learning versus statistical modeling

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Abstract

This is a discussion of the following papers: “Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory” by Jochen Kruppa, Yufeng Liu, Gérard Biau, Michael Kohler, Inke R. König, James D. Malley, and Andreas Ziegler; and “Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications” by Jochen Kruppa, Yufeng Liu, Hans‐Christian Diener, Theresa Holste, Christian Weimar, Inke R. König, and Andreas Ziegler.

Related Organizations

Ludwig-Maximilians-Universität München
Germany

Keywords

Stochastic Processes, Biometry, Models, Statistical, Artificial Intelligence, Reproducibility of Results, Algorithms

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