Results 11 to 20 of about 5,728,670 (281)
Prognostic Modelling with Dynamic Bayesian Networks [PDF]
, 2009 In this paper, we review the application of dynamic Bayesian networks to prognostic modelling. An example is provided for illustration. With this example, we show how the equipment’s reliability decays over time in the situation where repair is not ...
McNaught, Ken R., Zagorecki, A.
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Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters [PDF]
, 2012 To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes.
Husmeier, D., Grzegorczyk, M.
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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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Dynamic networks from hierarchical bayesian graph clustering. [PDF]
PLoS ONE, 2010 Biological networks change dynamically as protein components are synthesized and degraded. Understanding the time-dependence and, in a multicellular organism, tissue-dependence of a network leads to insight beyond a view that collapses time-varying ...
Yongjin Park +2 more
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Bayesian Spillover Graphs for Dynamic Networks
CoRR, 2022 We present Bayesian Spillover Graphs (BSG), a novel method for learning temporal relationships, identifying critical nodes, and quantifying uncertainty for multi-horizon spillover effects in a dynamic system. BSG leverages both an interpretable framework via forecast error variance decompositions (FEVD) and comprehensive uncertainty quantification via ...
Grace Deng, David S. Matteson
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Dynamic Bayesian networks for meeting structuring [PDF]
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 The paper is about the automatic structuring of multiparty meetings using audio information. We have used a corpus of 53 meetings, recorded using a microphone array and lapel microphones for each participant. The task was to segment meetings into a sequence of meeting actions, or phases.
Alfred Dielmann, Steve Renals
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Machines, 2021 The reliability and cost-effectiveness of energy conversion in gas turbine systems are strongly dependent on an accurate diagnosis of possible process and sensor anomalies.
Valentina Zaccaria +2 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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The engineering skills training process modeling using dynamic bayesian nets
Радіоелектронні і комп'ютерні системи, 2021 The subject of research in the article is the process of intelligent computer training in engineering skills. The aim is to model the process of teaching engineering skills in intelligent computer training programs through dynamic Bayesian networks ...
Andrey Chukhray, Olena Havrylenko
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Outlier Detection for Multivariate Time Series Using Dynamic Bayesian Networks
Applied Sciences, 2021 Outliers are observations suspected of not having been generated by the underlying process of the remaining data. Many applications require a way of identifying interesting or unusual patterns in multivariate time series (MTS), now ubiquitous in many ...
Jorge L. Serras +2 more
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