Jump to content

Bayesian inference

From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by 217.34.119.27 (talk) at 15:23, 17 September 2002 (o do). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

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: