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Encyclopedia of Machine Learning and Data Mining pp 1–5Cite as

Complexity in Adaptive Systems

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Abstract

The complexity in adaptive systems is classified into two types: internal complexity for model complexity and external complexity for data complexity. As an application, the two concepts are put into the background of learning and are used to explain statistical learning.

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Recommended Reading

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Author information

Authors and Affiliations

  1. Aberystwyth University, Aberystwyth, UK

    Jun He

Authors
  1. Jun He
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Correspondence to Jun He .

Editor information

Editors and Affiliations

  1. Engineering (CSE), University of New South Wales School of Computer Science &, Sydney, New South Wales, Australia

    Claude Sammut

  2. Software Engineering, Monash University School of Computer Science &, Melbourne, Victoria, Australia

    Geoffrey I. Webb

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© 2016 Springer Science+Business Media New York

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He, J. (2016). Complexity in Adaptive Systems. In: Sammut, C., Webb, G. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7502-7_45-1

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  • DOI: https://doi.org/10.1007/978-1-4899-7502-7_45-1

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  • Publisher Name: Springer, Boston, MA

  • Online ISBN: 978-1-4899-7502-7

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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