Results 11 to 20 of about 235,639 (329)
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
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A Random Traffic Assignment Model for Networks Based on Discrete Dynamic Bayesian Algorithms
Discrete Dynamics in Nature and Society, 2022 In this paper, a stochastic traffic assignment model for networks is proposed for the study of discrete dynamic Bayesian algorithms. In this paper, we study a feasible method and theoretical system for implementing traffic engineering in networks based ...
Wei Zhou
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Gene networks inference using dynamic Bayesian networks [PDF]
Bioinformatics, 2003 Abstract This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactions capable of handling missing variables is proposed.
Bruno-Edouard, Perrin +5 more
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Characterization of Dynamic Bayesian Network-The Dynamic Bayesian Network as temporal network [PDF]
International Journal of Advanced Computer Science and Applications, 2011 في هذا التقرير، سنكون مهتمين بشبكة بايزي الديناميكية (DBNs) كنموذج يحاول دمج البعد الزمني مع عدم اليقين. نبدأ بأساسيات شبكة بايزي الديناميكية حيث نركز بشكل خاص على مفاهيم وخوارزميات الاستدلال والتعلم. ثم سنقدم مستويات وطرقًا مختلفة لإنشاء شبكات بايزي الديناميكية بالإضافة إلى مناهج دمج البعد الزمني في شبكة بايزي الثابتة.
Nabil Ghanmi +2 more
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Multisensory integration using dynamical Bayesian networks [PDF]
Frontiers in Computational Neuroscience, 2015 Multisensory Integration (MSI) is the study of how information coming from different sensory modalities, such as vision, audition and etc. are being integrated by the nervous system (Stein et al., 2009) as a complex system. MSI is one of the most important aspects of neuroscience which has a great influence on our decision making system. It plays a key
Abbas Shangari, Taher +3 more
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Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum. [PDF]
, 2020 The ability to connect genetic information between traits over time allow Bayesian networks to offer a powerful probabilistic framework to construct genomic prediction models. In this study, we phenotyped a diversity panel of 869 biomass sorghum (Sorghum
Brown, Patrick J +8 more
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Bayesian Nonparametrics for Sparse Dynamic Networks
, 2023 In this paper we propose a Bayesian nonparametric approach to modelling sparse time-varying networks. A positive parameter is associated to each node of a network, which models the sociability of that node. Sociabilities are assumed to evolve over time, and are modelled via a dynamic point process model. The model is able to capture long term evolution
Cian Naik +4 more
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Relational Dynamic Bayesian Networks
Journal of Artificial Intelligence Research, 2005 Stochastic processes that involve the creation of objects and relations over time are widespread, but relatively poorly studied. For example, accurate fault diagnosis in factory assembly processes requires inferring the probabilities of erroneous assembly operations, but doing this efficiently and accurately is difficult.
Sanghai, S., Domingos, P., Weld, D.
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Exact Inference Techniques for the Analysis of Bayesian Attack Graphs [PDF]
, 2016 Attack graphs are a powerful tool for security risk assessment by analysing network vulnerabilities and the paths attackers can use to compromise network resources.
Barrère, Martín +3 more
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A Timeliness-Enhanced Traffic Identification Method in Airborne Network
Xibei Gongye Daxue Xuebao, 2020 High dynamic topology and limited bandwidth of the airborne network make it difficult to provide reliable information interaction services for diverse combat mission of aviation swarm operations.
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