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book chapter · IGI Global eBooks · 2011

Learning Adaptive Behaviour

M. E. Müller

Cited by 1Abstract and details only

Abstract

This chapter demonstrates the use of machine learning techniques in adaptive hypermedia systems. A generic machine learning scenario is described and related to an abstract definition of interactive software systems and adaptive hypermedia systems. In the main part of the chapter, numerous recent systems and employed techniques are described. The most important learning methods are introduced by examples, and their applicability in adaptive hypermedia is discussed. The chapter concludes with a comparison of all approaches one might consider when applying machine learning in adaptive hypermedia systems.Request access from your librarian to read this chapter's full text.

Cite this paper

APA 7

Müller, M. E. (2011). Learning Adaptive Behaviour. IGI Global eBooks. https://doi.org/10.4018/9781591405672.ch006

MLA 9

Müller, M. E. “Learning Adaptive Behaviour.” IGI Global eBooks, 2011, https://doi.org/10.4018/9781591405672.ch006.

Chicago

Müller, M. E. 2011. “Learning Adaptive Behaviour.” IGI Global eBooks. https://doi.org/10.4018/9781591405672.ch006.

Harvard

Müller, M.E. (2011) ‘Learning Adaptive Behaviour’, IGI Global eBooks. Available at: https://doi.org/10.4018/9781591405672.ch006.

BibTeX
@incollection{muller2011learning,
  title = {{Learning Adaptive Behaviour}},
  author = {Müller, M. E.},
  booktitle = {IGI Global eBooks},
  year = {2011},
  doi = {10.4018/9781591405672.ch006}
}

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