MODEL THEORY AND MACHINE LEARNING

DOI10.1017/bsl.2018.71zbMath1506.03095arXiv1801.06566OpenAlexW2785170103MaRDI QIDQ5240809

James Freitag, Hunter Chase

Publication date: 29 October 2019

Published in: The Bulletin of Symbolic Logic (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1801.06566

zbMATH Keywords

model theorymachine learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Classification theory, stability, and related concepts in model theory (03C45) Applications of model theory (03C98)

Related Items (3)

MODEL THEORY AND COMBINATORICS OF BANNED SEQUENCES ⋮ Regular partitions of gentle graphs ⋮ THICKET DENSITY

Cites Work

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• Compression schemes, stable definable families, and o-minimal structures
• Elimination of quantifiers for modules
• Classification theory and the number of non-isomorphic models
• The weighted majority algorithm
• Externally definable sets and dependent pairs
• Notes on the stability of separably closed fields
• Vapnik-Chervonenkis Classes of Definable Sets

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