Bayesian network

(redirected from Bayes net)

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 ?
References in periodicals archive ?
A good mix of algorithms have been chosen from these groups that include Bayes Net & Naive Bayes (from Bayes), Multilayer Perceptron, Simple Logistics & SMO (from functions), IBk&KStar (from Lazy), NNge, PART & ZeroR (from Rules) and ADTree, J48, Random Forest & Simple Cart (from Trees).
The algorithm of the proposed model was coded in Matlab (Mathworks, 2006) by using some of the functions of the Bayes Net Toolbox (Murphy, 2001).
The Bayes Net Toolbox for Matlab," in Computing Science and Statistics.
Thus, in order to solve the assigned task, the suggestion is made to additionally apply the apparatus based on the Bayes nets of trust and to develop the hybrid approach based on the combination of the Bayes nets and artificial immune systems, where the latter play the role of an efficient computing tool for sorting out task solution (Heckerman 1995).
Bayes nets of trust are one of the most popular methods of presenting knowledge with uncertainty (Heckerman 1995).
The basic benefits of Bayes nets of trust application versus common mathematical models are an intuitively intelligible and reasonable presentation of interconnections of arguments, variable existence possibility both by way of the argument and the required object in the scope of one structure, and an information dissemination chance in both directions of the Bayes nets (Heckerman 1995).
Application of the appliance on the basis of the Bayes nets of trust allowed developing a model for upgrading the aeronautical system, taking into consideration the uncertainties and input data, which consists of information concerning the upgrade resources together with an evaluation of the need for such resources.