Abstract
This is a discussion of the 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.
Original language | English |
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Pages (from-to) | 594-596 |
Number of pages | 3 |
Journal | Biometrical Journal |
Volume | 56 |
Issue number | 4 |
DOIs |
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Publication status | Published - 2014 Jun |
Externally published | Yes |
Keywords
- Max-type penalty
- Regularization
- Variable selection
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty