Results 301 to 310 of about 7,255,480 (346)

Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation. [PDF]

JMIR Ment Health
Maekawa E, Grua EM, Nakamura CA, Scazufca M, Araya R, Peters T, van de Ven P.   +6 more
europepmc   +1 more source

Use of Bayesian networks in Brazil high school educational database: analysis of the impact of COVID-19 on ENEM in Pará between 2019 and 2022. [PDF]

Front Big Data
Santos SMD, da Silva MS, França Lobato FM, Francês CRL.   +3 more
europepmc   +1 more source

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
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

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 ...
Finn V Jensen
exaly   +2 more sources

Evolution of Safety and Security Risk Assessment methodologies towards the use of Bayesian Networks in Process Industries

, 2021
Process Industries handling, producing and storing bulk amount of hazardous materials are a major source of concern in terms of both safety and security.
P. George, V. R. Renjith
semanticscholar   +1 more source

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
openaire   +1 more source

Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers

Future generations computer systems, 2020
Sentiment analysis through machine learning using Twitter data has become a popular topic in recent years. Here we address the problem of sentiment analysis during critical events such as natural disasters or social movements.
G. A. Ruz, Pablo A. Henríquez, Aldo Mascareño   +2 more
semanticscholar   +1 more source

Bayesian networks

Neurocomputing, 2010
What are Bayesian networks and why are their applications growing across all fields?
openaire   +2 more sources