Results 161 to 170 of about 160,416 (217)

Newborns' Language Discrimination May Not Reflect Sensitivity to Speech Rhythm: Evidence From Computational Modeling. [PDF]

Dev Sci
Famularo RL, Aboelata A, Schatz T, Feldman NH.   +3 more
europepmc   +1 more source

Machine Learning and Clustering Analysis of Class II and III Malocclusions. [PDF]

Clin Exp Dent Res
Paddenberg-Schubert E, Midlej K, Krohn S, Lone IM, Zohud O, Awadi O, Samir Masarwa, Nashef A, Kirschneck C, Watted N, Proff P, Iraqi FA.   +11 more
europepmc   +1 more source

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Machine learning versus statistical modeling

Biometrical Journal, 2014
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
Boulesteix, Anne-Laure, Schmid, Matthias
openaire   +3 more sources

Statistics meets Machine Learning

Oberwolfach Reports, 2021
Theory and application go hand in hand in most areas of statistics. In a world flooded with huge amounts of data waiting to be analyzed, classified and transformed into useful outputs, the designing of fast, robust and stable algorithms has never been as important as it is today. On the other hand, irrespective of whether the focus is put on estimation,
Fadoua Balabdaoui, Lutz Dümbgen, Klaus-Robert Müller, Richard Samworth   +3 more
openaire   +1 more source