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Learning, Adaptation, and Tuning

  • Finn V. Jensen
Part of the Statistics for Engineering and Information Science book series (ISS)

Abstract

In Chapter 2, we mainly considered modeling situations where a domain expert establishes the structure of the network. With respect to estimating the potentials for the model (the conditional probabilities), it can be based on combinations of theoretical considerations, a database of cases, and pure subjective estimates. You may be so fortunate that you have a large database of cases or you expect to collect cases in the future. In that case, you would like to exploit the information for model building or for future change.

Keywords

Conditional Probability Bayesian Network Fading Factor Effective Sample Size True Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Finn V. Jensen
    • 1
  1. 1.Department of Computer SciencesAalborg UniversityAalborg ØDenmark

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