Bayesian network

(redirected from Learning bayesian network structure)

Bayesian network

A form of artificial intelligence—named for Bayes’ theorem—which calculates probability based on a group of related or influential signs. Once a Bayesian network AI is taught the symptoms and probable indicators of a particular disease, it can assess the probability of that disease based on the frequency or number of signs in a patient.

Mentioned in ?

artificial intelligence

References in periodicals archive ?

Yurramendi, "Learning Bayesian network structures by searching for the best ordering with genetic algorithms," IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol.

A Bayesian Network Model on the Public Bicycle Choice Behavior of Residents: A Case Study of Xi'an

H., Murga RH, Yurramendi Y (1996) Learning Bayesian network structures by searching for the best ordering with genetic algorithms.

Bayesian approach to the process of identification of the determinants of innovativeness