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How to Work With Refinements

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Learning from Good and Bad Data

Part of the book series: The Kluwer International Series in Engineering and Computer Sciences ((SECS,volume 47))

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Abstract

Having presented the fundamental concepts and some elementary algorithms for identification using refinements, we now need to know how to use refinements in more sophisticated ways. The paradigmatic situation is that we are faced with constructing an identification program on an unfamiliar domain. Armed with the ideas of the previous chapter, we should

  1. 1.

    select a representation ε for the class of target objects D, and the mapping h that relates them.

  2. 2.

    prepare an ordering ≽ on ε that relates to the ordering ≥ D on as closely as possible and which is preserved by h.

  3. 3.

    construct a refinement ρ and/or γ for the ordering.

  4. 4.

    plug these into a nifty, all-purpose algorithm for indentification.

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© 1988 Kluwer Academic Publishers

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Laird, P.D. (1988). How to Work With Refinements. In: Learning from Good and Bad Data. The Kluwer International Series in Engineering and Computer Sciences, vol 47. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1685-5_3

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  • DOI: https://doi.org/10.1007/978-1-4613-1685-5_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8951-7

  • Online ISBN: 978-1-4613-1685-5

  • eBook Packages: Springer Book Archive

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