Bayesian network

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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.

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artificial intelligence

References in periodicals archive ?

The fourth program, Beyond Belief Network (BBN), brings together humanists, atheists, and other nonbelievers who are volunteering within their local communities.

Breaking camp: humanist service corps assists Ghanaians accused of witchcraft

Totally, there are 8346 images as training samples, which are applied to train the classifier of deep belief network pedestrian.

Research on an improved pedestrian detection method based on Deep Belief Network (DBN) classification algorithm

Create the Bayesian belief network by defining conditional probability tables capturing consensus beliefs in the probable outcomes of key CRF.

A multifaceted investigation and intervention into the process of flight clearance for UAS experimental flight test

In our investigations we used a special computer tool called BeliefSEEKER (a belief network system) that was developed at the University of Information Technology and Management in Rzeszow, Poland, in cooperation with the University of Kansas.

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

Their topics include evolutionary algorithms in the supervision of error-free control, soft computing techniques in spatial databases, fuzzy decision rule construction using fuzzy decision trees and its application to electronic-learning databases, opportunities for database technologies in a Bayesian belief network methodology for modeling social systems in virtual communities, checking integrity constraints in a distributed database, soft computing techniques in content-based multimedia information retrieval, feature selection and variable precision rough set analysis and its application to financial data, a human-machine interface design to control an intelligent rehabilitation robot system, and congestion control using soft computing.

Soft computing applications for database technologies; techniques and issues

A more recent study described a prototype Bayesian belief network for the diagnosis of acidification in Welsh rivers.

Probabilistic models for assessing the impact of salinization and chemical pollutants

An Algorithm for Bayesian Belief Network Construction from Data, Proc.

Empirically validating software metrics for risk prediction based on intelligent methods

The system knowledge is based on a belief network (BN), formed by the particular knowledge of all these internal agents.

COMMUNICATION MANAGEMENT EXPERIENCES IN E-COMMERCE

A Belief Network would represent this as a graphical structure, whose nodes represent probabilistic variables (such as "Hepatitis"), and whose directed links, roughly speaking, represent "causal dependencies," with the understanding that there should be a directed path from A to B, possibly a direct connection, if knowing the value of A can help specify the value for B.

Efficient Reasoning

The number of full-scaled belief network applications is very small compared to clinical decision support systems developed using other methods.

Use of a model-based decision support system to determine medication compliance in glaucoma cases

A mechanical comparison of both solutions was carried out with a Bayesian Belief Network evaluator.

New Perspectives to Study of Student Motivation and Self-Regulated Learning with Bayesian Network Modeling

It is foundationalist in that some beliefs about intrinsic value enjoy a kind of a priori justification and are basic in their epistemic function within the belief network.