Neural network approximation and estimation of classifiers with classification boundary in a Barron class-Reference-Cited by-同舟云学术

Neural network approximation and estimation of classifiers with classification boundary in a Barron class

Published:2023-08-01 Issue:4 Volume:33 Page:
ISSN:1050-5164
Container-title:The Annals of Applied Probability
language:
Short-container-title:Ann. Appl. Probab.

Author:

Caragea Andrei¹,Petersen Philipp²,Voigtlaender Felix¹

Affiliation:

1. Mathematical Institute for Machine Learning and Data Science (MIDS), KU Eichstätt–Ingolstadt

2. Faculty of Mathematics and Research Platform Data Science @ Uni Vienna, University of Vienna

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference56 articles.

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3. Barron, A. R. (1994). Approximation and estimation bounds for artificial neural networks. Mach. Learn. 14 115–133.

4. TRIEBEL, H. (2010). Theory of Function Spaces. Modern Birkhäuser Classics. Birkhäuser/Springer Basel AG, Basel.

5. ALT, H. W. (2016). Linear Functional Analysis: An Application-Oriented Introduction. Universitext. Springer, London.

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