Motivation and Background
Epsilon covers were introduced in calculus. So we provide here a very general definition.
Definition
Let (M, ϱ) be a metric space, let S ⊆ M, and let ɛ > 0. A set E ⊆ M is an ɛ -cover for S, if for every s ∈ S there is an e ∈ E such that ϱ(s, e) ≤ ɛ.
An ɛ -cover E is said to be proper, if E ⊆ S.
Application
The notion of an É›-cover is frequently used in kernel-based learning methods.
For further information, we refer the reader to Herbrich (2002).
Cross-References
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Herbrich R (2002) Learning kernel classifiers: theory and algorithms. MIT, Cambridge
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media New York
About this entry
Cite this entry
Zeugmann, T. (2017). Epsilon Cover. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_82
Download citation
DOI: https://doi.org/10.1007/978-1-4899-7687-1_82
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7685-7
Online ISBN: 978-1-4899-7687-1
eBook Packages: Computer ScienceReference Module Computer Science and Engineering