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Uncertainty in a numeric concept discovery system

  • Mieczyslaw M. Kokar
  • David L. Rumpf
  • Bernard E. Sawaf
Knowledge Acquisition And Machine Learning
Part of the Lecture Notes in Computer Science book series (LNCS, volume 313)

Abstract

This paper deals with the problem of reasoning about conceptualizations (sets of relevant parameters) of physical processes. It discusses the problems faced by the COPER discovery system [Kokar, 1986a, 1986b]. COPER conjectures parameters characterizing physical processes and the functional relationships among them. It must handle two kinds of uncertainty — about relevance of parameters, and noise. The paper shows that the straightforward probability/statistics approach is only partially adequate for this problem and indicates some of the possible ways to solve the discussed decision problem.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Mieczyslaw M. Kokar
    • 1
  • David L. Rumpf
    • 1
  • Bernard E. Sawaf
    • 1
  1. 1.Department of Industrial Engineering and Information SystemsNortheastern UniversityBoston

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