Results 21 to 30 of about 6,628,841 (378)
Journal of Industrial Engineering and Management, 2016 Purpose: Propose a modeling and analysis methodology based on the combination of Bayesian networks and Petri networks of the reverse logistics integrated the direct supply chain.
Faycal Mimouni, Abdellah Abouabdellah
doaj +1 more source
Future Internet, 2023 For the current stage of complex and changing network environments and correlated and synchronized vulnerability attacks, this study first fuses attack graph technology and Bayesian networks and constructs Bayesian attack graphs toportray the correlation
Kongpei Wu, Huiqin Qu, Conggui Huang
doaj +1 more source
Hybrid Optimization Algorithm for Bayesian Network Structure Learning
Information, 2019 Since the beginning of the 21st century, research on artificial intelligence has made great progress. Bayesian networks have gradually become one of the hotspots and important achievements in artificial intelligence research.
Xingping Sun +5 more
doaj +1 more source
Bernoulli, 2007 Published in at http://dx.doi.org/10.3150/07-BEJ6133 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
Beerenwinkel, Niko +2 more
openaire +4 more sources
The Scientific World Journal, 2014 A large number of data is needed by the computation of the objective Bayesian network, but the data is hard to get in actual computation. The calculation method of Bayesian network was improved in this paper, and the fuzzy-precise Bayesian network was ...
Jiali Wang, Qingnian Zhang, Wenfeng Ji
doaj +1 more source
Grid Fault Diagnosis Based on Information Entropy and Multi-source Information Fusion [PDF]
International Journal of Electronics and Telecommunications, 2021 In order to solve the problem of misjudgment caused by the traditional power grid fault diagnosis methods, a new fusion diagnosis method is proposed based on the theory of multisource information fusion.
Xin Zeng +2 more
doaj +1 more source
BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses
BMC Medical Research Methodology, 2019 BackgroundSeveral reviews have noted shortcomings regarding the quality and reporting of network meta-analyses (NMAs). We suspect that this issue may be partially attributable to limitations in current NMA software which do not readily produce all of the
A. Béliveau +4 more
semanticscholar +1 more source
Bayesian network–response regression [PDF]
Bioinformatics, 2017 Abstract Motivation There is increasing interest in learning how human brain networks vary as a function of a continuous trait, but flexible and efficient procedures to accomplish this goal are limited.
Wang, Lu +3 more
openaire +5 more sources
Dynamic Bayesian Network Modeling Based on Structure Prediction for Gene Regulatory Network
IEEE Access, 2021 Gene regulatory network can intuitively reflect the interaction between genes, and an in-depth study of these relationships plays a significant role in the treatment and prevention of clinical diseases.
Luxuan Qu +6 more
doaj +1 more source
Bayesian Neural Networks: Essentials [PDF]
arXiv, 2021 Bayesian neural networks utilize probabilistic layers that capture uncertainty over weights and activations, and are trained using Bayesian inference. Since these probabilistic layers are designed to be drop-in replacement of their deterministic counter parts, Bayesian neural networks provide a direct and natural way to extend conventional deep neural ...
arxiv