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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DAPS is developed with a Bayesian network model in the Netica software tool (Norsys, 2010).
A Brief Introduction to Graphical Models and Bayesian Networks.
A proposed validation framework for expert elicited Bayesian Networks, Expert Systems with Applications, 40: 162-167.
Bayesian Networks and Influence Diagrams: a Guide to Construction and Analysis.
Bayesian network is a good means to deal with the uncertainty existing in the execution of web service composition [15].
Decision support under uncertainties based on robust Bayesian networks in reverse logistics management, International Journal of Computer Applications in Technology 36(3-4): 247258.
Further, this work will present the results on how bayesian networks can be employed as one viable option for computer-aided detection of epileptic seizures by representing the relationships between diagnoses, physical findings, laboratory test results, and EEG signal classification findings.
Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification.
VIBES: A Variational Inference Engine for Bayesian Networks, on Advances in Neural Information Processing Systems (NIPS), May, http://books.
Naive Bayesian networks (NB) are very simple Bayesian networks which are composed of directed acyclic graphs with only one parent (representing the unobserved node) and several children (corresponding to observed nodes) with a strong assumption of independence among child nodes in the context of their parent (Good, 1950).
Keywords: Bayesian Reasoning, Dynamic Bayesian Networks, Groundwater Quality Assessment, Classical Time Series Models
In this study, decision making of agents' were modeled using Bayesian Networks (BNs).

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