Results 41 to 50 of about 207,453 (329)
Reliability based rehabilitation of water distribution networks by means of Bayesian networks
Journal of Water and Land Development, 2017 Water plays an essential role in the everyday lives of the people. To supply subscribers with good quality of water and to ensure continuity of service, the operators use water distribution networks (WDN). The main elements of water distribution network (
Lakehal Abdelaziz, Laouacheria Fares
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Bayesian topology identification of linear dynamic networks
, 2019 In networks of dynamic systems, one challenge is to identify the interconnection structure on the basis of measured signals. Inspired by a Bayesian approach in [1], in this paper, we explore a Bayesian model selection method for identifying the ...
chickering, hendrickx, kuppinger, ljung
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Dynamic Bayesian Networks for Musical Interaction [PDF]
, 2017 We describe in this chapter a consistent set of temporal models that we have developed over the years for analyzing movement in real-time musical interaction. These models are probabilistic and can be unified and generalized under the formalism of dynamic Bayesian networks (DBNs).
Caramiaux, Baptiste +2 more
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Benchmarking dynamic Bayesian network structure learning algorithms [PDF]
2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), 2013 Dynamic Bayesian Networks (DBNs) are probabilistic graphical models dedicated to modeling multivariate time series. Two-time slice BNs (2-TBNs) are the most current type of these models. Static BN structure learning is a well-studied domain. Many approaches have been proposed and the quality of these algorithms has been studied over a range of di erent
Trabelsi, Ghada +3 more
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A Bayesian Network Based Adaptability Design of Product Structures for Function Evolution
Applied Sciences, 2018 Structure adaptability design is critical for function evolution in product families, in which many structural and functional design factors are intertwined together with manufacturing cost, customer satisfaction, and final market sales. How to achieve a
Shaobo Li +4 more
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Improved inference of gene regulatory networks through integrated Bayesian clustering and dynamic modeling of time-course expression data. [PDF]
PLoS ONE, 2013 Inferring gene regulatory networks from expression data is difficult, but it is common and often useful. Most network problems are under-determined--there are more parameters than data points--and therefore data or parameter set reduction is often ...
Brian Godsey
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Sensorimotor coupling via Dynamic Bayesian Networks
2008 IEEE International Conference on Robotics and Automation, 2008 In this paper we consider the problem of sensorimotor coordination in a Bayesian framework. To this end we introduce a novel kind of Dynamic Bayesian Network serving as the core tool to integrate active vision and task-constrained motor behaviors. The proposed system is put into work by addressing the challenging task of realistic drawing performed by ...
R. Coen Cagli +4 more
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Dynamic Bayesian networks for integrated neural computation [PDF]
First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings., 2004 Understanding the clinical outcomes of brain lesions necessitates knowing how networks of cerebral structures implement cognitive or sensorimotor functions. Functional neuroimaging techniques provide useful insights on what the networks are, and when and how much they activate.
Labatut, Vincent, Pastor, Josette
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FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Dynamic Bayesian Networks for Audio-Visual Speech Recognition
EURASIP Journal on Advances in Signal Processing, 2002 The use of visual features in audio-visual speech recognition (AVSR) is justified by both the speech generation mechanism, which is essentially bimodal in audio and visual representation, and by the need for features that are invariant to acoustic noise
Liang Luhong +4 more
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