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Epsilon Cover

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Encyclopedia of Machine Learning and Data Mining
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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).

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Recommended Reading

  • Herbrich R (2002) Learning kernel classifiers: theory and algorithms. MIT, Cambridge

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Correspondence to Thomas Zeugmann .

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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

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