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Dynamic causal modeling of low-density resting-state EEG in long-term meditation practitioners. [PDF]
Sci RepRho G +11 more
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Plasma lactate and severity of illness for acute pulmonary embolism: A Bayesian probability model.
Int J Crit Illn Inj SciBáez AA, Ibu F, Halasz H.
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Simulation metamodeling with dynamic Bayesian networks
European Journal of Operational Research, 2011This paper presents a novel approach to simulation metamodeling using dynamic Bayesian networks (DBNs) in the context of discrete event simulation. A DBN is a probabilistic model that represents the joint distribution of a sequence of random variables and enables the efficient calculation of their marginal and conditional distributions.
Jirka Poropudas, Kai Virtanen
exaly +5 more sources
Bayesian compression for dynamically expandable networks
Pattern Recognition, 2022Abstract This paper develops Bayesian Compression for Dynamically Expandable Network (BCDEN), which can learn a compact model structure with preserving the accuracy in a continual learning scenarios. Dynamically Expandable Network (DEN) is efficiently trained by performing selective retraining, dynamically expands network capacity with only the ...
Yang Yang 0072 +2 more
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Dynamic Bayesian networks with application in environmental modeling and management: A review
Environmental Modelling and Software, 2023 Dynamic Bayesian networks (DBNs) as an extension of traditional Bayesian networks have recently been paid great concern to environmental modeling to capture dynamic processes and support feedback loops.
Jie Xue, Lu Gong, Fanjiang Zeng
exaly +2 more sources
2021
Underground transportation systems are in great demand in many large cities all over the world. Tunnel construction has presented a powerful momentum for rapid economic development worldwide. However, owing to various risk factors in complex project environments, safety violations occur frequently in tunnel construction, leading to large problems on ...
Limao Zhang +3 more
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Underground transportation systems are in great demand in many large cities all over the world. Tunnel construction has presented a powerful momentum for rapid economic development worldwide. However, owing to various risk factors in complex project environments, safety violations occur frequently in tunnel construction, leading to large problems on ...
Limao Zhang +3 more
openaire +1 more source
International Journal of Intelligent Systems, 2004
Summary: We extend Darwiche's differential approach to inference in Bayesian Networks (BNs) to handle specific problems that arise in the context of Dynamic Bayesian Networks (DBNs). We first summarize Darwiche's approach for BNs, which involves the representation of a BN in terms of a multivariate polynomial.
Boris Brandherm, Anthony Jameson
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Summary: We extend Darwiche's differential approach to inference in Bayesian Networks (BNs) to handle specific problems that arise in the context of Dynamic Bayesian Networks (DBNs). We first summarize Darwiche's approach for BNs, which involves the representation of a BN in terms of a multivariate polynomial.
Boris Brandherm, Anthony Jameson
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Topological Dynamic Bayesian Networks
2010 20th International Conference on Pattern Recognition, 2010The objective of this research is to embed topology within the dynamic Bayesian network (DBN) formalism. This extension of a DBN (that encodes statistical or causal relationships) to a topological DBN (TDBN) allows continuous mappings (e.g., topological homeomorphisms), topological relations (e.g., homotopy equivalences) and invariance properties (e.g.,
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