Results 251 to 260 of about 3,102,730 (292)

Dynamic Bayesian Networks, Elicitation, and Data Embedding for Secure Environments. [PDF]

Entropy (Basel)
Drury K, Smith JQ.
europepmc   +1 more source

Scenario construction and evolutionary analysis of nonconventional public health emergencies based on Bayesian networks. [PDF]

Front Public Health
Zhu Y, Yang Q, Fu L, Cai C, Wang J, He L.   +5 more
europepmc   +1 more source

Behavioral Analysis of Postgraduate Education Satisfaction: Unveiling Key Influencing Factors with Bayesian Networks and Feature Importance. [PDF]

Behav Sci (Basel)
Li S, Wang T, Yin H, Ding S, Cai Z.
europepmc   +1 more source

Acute Myeloid Leukemia Genome Characterization Study and Subtype Classification Employing Feature Selection and Bayesian Networks. [PDF]

Biomedicines
Li Z, Li J, Li S, Wang Y, Wang J.
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Modelling Interventions to Combat Antibacterial Resistance in East Africa Using Causal Bayesian Networks

Ke X, Smith V, Mshana SE, Asiimwe B, Neema S, Kiiru J, Mushi MF, Mmbaga BT, Mwanga JR, Kibiki G, Stelling J, Gillespie SH, Green DL, Benvari S, Sabiiti W, Kesby M, Lynch AG, Sandeman A, Sloan DJ, Holden MT, Keenan K, HATUA Consortium.   +21 more
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Bayesian networks

Wiley Interdisciplinary Reviews: Computational Statistics, 2009
AbstractBayesian networks are defined, and the chain rule for Bayesian networks is stated. Outlines of algorithms provided: inference in Bayesian networks, sensitivity analysis, EM for parameter learning, and learning structure. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under:Statistical and Graphical Methods of Data ...
exaly   +2 more sources

Bayesian networks

Communications of the ACM, 1995
This brief tutorial on Bayesian networks serves to introduce readers to some of the concepts, terminology, and notation employed by articles in this special section. In a Bayesian network, a variable takes on values from a collection of mutually exclusive and collective exhaustive states.
David Heckerman, Michael P. Wellman
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Bayesian networks

Neurocomputing, 2010
What are Bayesian networks and why are their applications growing across all fields?
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