Online Epsilon Net and Piercing Set for Geometric Concepts

VC-dimension and \(\varepsilon\)-nets are key concepts in Statistical Learning Theory. Intuitively, VC-dimension is a measure of the size of a class of sets. The famous \(\varepsilon\)-net theorem, a fundamental result in Discrete Geometry, asserts that if the VC-dimension of a set system is bounded...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Bhore, Sujoy, Dey, Devdan, Singh, Satyam
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Complexity Computer vision Data analysis Learning theory Machine learning Motion planning Spatial data
Online-Zugang:	Volltext
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