Back شبكة بايزية Arabic Bayesov şəbəkəsi Azerbaijani Бейсова мрежа Bulgarian Xarxa bayesiana Catalan Bayesovská síť Czech Bayessches Netz German Μπεϋζιανά δίκτυα Greek Bayesian network English Red bayesiana Spanish شبکههای بیزی Persian
A Bayesian network is a kind of graph which is used to model events that cannot be observed. This can then be used for inference. The graph that is used is directed, and does not contain any cycles. The nodes of the graph represent random variables. If two nodes are connected by an edge, it has an associated probability that it will transmit from one node to the other.
Bayesian networks are mainly used in the field of (unassisted) machine learning. They have been used where information needs to be classified. Examples are image, document, or speech recognition, and information retrieval.
It is based on Reverend Thomas Bayes' discovery in the 1740s called Bayes' theorem.[1]
- ↑ McGrayne, Sharon Bertsch. (2011). The Theory That Would Not Die, p. 10., p. 10, at Google Books