Learning, Adaptation, and Tuning
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.
KeywordsConditional Probability Bayesian Network Fading Factor Effective Sample Size True Distribution
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