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.
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© 2001 Springer Science+Business Media New York
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Jensen, F.V. (2001). Learning, Adaptation, and Tuning. In: Bayesian Networks and Decision Graphs. Statistics for Engineering and Information Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3502-4_3
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DOI: https://doi.org/10.1007/978-1-4757-3502-4_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3504-8
Online ISBN: 978-1-4757-3502-4
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