Results 31 to 40 of about 520,634 (314)
Deep learning technology of Internet of Things Blockchain in distribution network faults
Journal of Intelligent Systems, 2022 Nowadays, the development of human society and daily life are inseparable from the power supply. Therefore, people also put forward higher requirements for the reliability of distribution network, but power companies can only passively deal with ...
Zhang Hong, Li Rui, Shi Chuncheng
doaj +1 more source
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers
Complexity, 2018 Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization.
Gonzalo A. Ruz, Pamela Araya-Díaz
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Bayesian Policy Gradients via Alpha Divergence Dropout Inference
, 2011 Policy gradient methods have had great success in solving continuous control tasks, yet the stochastic nature of such problems makes deterministic value estimation difficult.
Henderson, Peter +3 more
core +3 more sources
Opinion Dynamics with Bayesian Learning
Complexity, 2020 Bayesian learning is a rational and effective strategy in the opinion dynamic process. In this paper, we theoretically prove that individual Bayesian learning can realize asymptotic learning and we test it by simulations on the Zachary network.
Aili Fang +3 more
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Development of a smart system for gasoline car emissions diagnosis using Bayesian Network
Jurnal Ilmiah SINERGI, 2023 A vehicle exhaust emissions test is an activity carried out to determine the content of the remaining combustion products that occur in the fuel in the vehicle engine. Many people do not understand exhaust gas content from emission tests, so to make this
Dedik Romahadi +3 more
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Network Plasticity as Bayesian Inference
, 2015 General results from statistical learning theory suggest to understand not only brain computations, but also brain plasticity as probabilistic inference. But a model for that has been missing.
Habenschuss, Stefan +3 more
core +3 more sources
Arthritis Care &Research, Accepted Article.Aims We investigated whether a diagnosis of rheumatoid arthritis (RA) affects the quality of inpatient acute myocardial infarction (AMI) care and long‐term mortality post‐AMI. Methods We analysed data from 784,091 adults, 6,047 with a diagnosis of RA, from England and Wales hospitalised with AMI between 2005 and 2019 from the MINAP registry, linked ...
Megan Butler +8 more
wiley +1 more source
Journal of Open Source SoftwareThe R package abn is a comprehensive tool for Bayesian Network (BN) analysis, a form of probabilistic graphical model. BNs are a type of statistical model that leverages the principles of Bayesian statistics and graph theory to provide a framework for representing complex multivariate data.
Delucchi, Matteo +3 more
openaire +2 more sources
Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus
Arthritis Care &Research, Accepted Article.Background Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined: 1) associations between economic insecurities and PROs; 2) the impact of screening and addressing economic insecurities during ...
Jay Patel +8 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley +1 more source