An evaluation of automated structure learning with Bayesian networks: An application to estuarine chlorophyll dynamics

@article{Alameddine2011AnEO,
  title={An evaluation of automated structure learning with Bayesian networks: An application to estuarine chlorophyll dynamics},
  author={Ibrahim Alameddine and YoonKyung Cha and Kenneth H. Reckhow},
  journal={Environmental Modelling and Software},
  year={2011},
  volume={26},
  pages={163-172}
}
We develop a Bayesian network (BN) model that describes estuarine chlorophyll dynamics in the upper section of the Neuse River Estuary in North Carolina, using automated constraint based structure learning algorithms. We examine the functionality and usefulness of the structure learning algorithms in building model topology with real-time data under different scenarios. Generated BN models are evaluated and a final model is selected. Model results indicate that although the effect of water… CONTINUE READING

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