Bayesian inference: Difference between revisions
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Revision as of 15:23, 17 September 2002
Bayesian inference applies the principles of Bayes' theorem and Bayesian probability to derive the rules of logic for propositions in which the degree of belief is not necessarily 1 (certainly true) or 0 (certainly false).
Bayesian inference has applications in artificial intelligence and expert systems.
- this is a stub article -- please write more here
- to do: example of spam-busting via Bayesian inference
See also: