Online learning of smooth functions

DOI10.1016/j.tcs.2023.114203arXiv2301.01434OpenAlexW4386886351MaRDI QIDQ6057845

Jesse T. Geneson, Ethan Zhou

Publication date: 26 October 2023

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2301.01434

zbMATH Keywords

online learninglinear interpolationnearest neighborssmooth functionsworst-case error bounds

Mathematics Subject Classification ID

Theory of computing (68Qxx)

Cites Work

• On-line learning of smooth functions of a single variable
• Smoothing techniques. With implementation in S
• Approximation and estimation bounds for artificial neural networks
• Improved bounds about on-line learning of smooth-functions of a single variable
• Queries and concept learning
• A Learning Theorem for Linear Operators
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