Combining state and transition models with dynamic Bayesian networks
AE Nicholson, MJ Flores - Ecological Modelling, 2011 - Elsevier
Bashari et al.(2009) propose combining state and transition models (STMs) with Bayesian
networks for decision support tools where the focus is on modelling the system dynamics …
networks for decision support tools where the focus is on modelling the system dynamics …
[PDF][PDF] Dynamic Bayesian networks for decision support and sugar food security
Food security, access to sufficient safe, nutritious food for active and healthy lives, is
enormously important for individuals and a key responsibility of national and international …
enormously important for individuals and a key responsibility of national and international …
A nested environmental approach to typhoid epidemiology in Central Division, Fiji
A Jenkins - 2017 - ro.ecu.edu.au
Many current disease threats involve interactions within and between nested subsystems of
biological organisation. Typhoid fever is a serious disease threat in the South Pacific region …
biological organisation. Typhoid fever is a serious disease threat in the South Pacific region …
Bayesian networks, total variation and robustness
SK Wright, JQ Smith - arXiv preprint arXiv:1811.07179, 2018 - arxiv.org
Now that Bayesian Networks (BNs) have become widely used, an appreciation is
developing of just how critical an awareness of the sensitivity and robustness of certain …
developing of just how critical an awareness of the sensitivity and robustness of certain …
Robustness in Bayesian networks
SK Wright - 2019 - wrap.warwick.ac.uk
This thesis explores the robustness of large discrete Bayesian networks (BNs) when applied
in decision support systems which have a pre-specified subset of target variables. We …
in decision support systems which have a pre-specified subset of target variables. We …
[PDF][PDF] Discovering and Learning Causal Bayesian Models with Latent Variables.
X Zhang - 2021 - scholar.archive.org
Bayesian networks (BN)(Pearl, 1988), as graphical structures for machine learning, are
powerful and popular tools for reasoning about uncertainty, representing potentially complex …
powerful and popular tools for reasoning about uncertainty, representing potentially complex …
[PDF][PDF] Modeling of Fuel InjectionSystem for Troubleshooting
A GEORGII-HEMMINGCYON - 2013 - diva-portal.org
With the technology progressing further, making heavy duty vehicles more complex, more
computerized, it becomes necessary to update the troubleshooting process of such vehicles …
computerized, it becomes necessary to update the troubleshooting process of such vehicles …