Bayesian network
From Testiwiki
Revision as of 05:11, 28 April 2008 by Juha Villman (talk | contribs)
<section begin=glossary /> (or a Bayesian belief network, BBN): a probabilistic graphical model that represents a set of variables and their probabilistic independencies. For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. The term "Bayesian networks" was coined by Pearl (1985) to emphasize three aspects:
- The often subjective nature of the input information.
- The reliance on Bayes's conditioning as the basis for updating information.
- The distinction between causal and evidential modes of reasoning, which underscores Thomas Bayes's posthumous paper of 1763.[1]
- ↑ Thomas Bayes (1763). "An Essay towards solving a Problem in the Doctrine of Chances. By the late Rev. Mr. Bayes, F.R.S., communicated by Mr. Price, in a letter to John Canton, A.M., F.R.S.". Philosophical Transactions of the Royal Society of London 53: 370–418.