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Research Article | Open Access |

Characterization of Dynamic Bayesian Network-The Dynamic Bayesian Network as temporal network

Author 1: Nabil Ghanmi Author 2: Mohamed Ali Mahjoub Author 3: Najoua Essoukri Ben Amara
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 2, No. 7 · Published 2011 · Cited by 7

DOI: 10.14569/IJACSA.2011.020708

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Abstract

In this report, we will be interested at Dynamic Bayesian Network (DBNs) as a model that tries to incorporate temporal dimension with uncertainty. We start with basics of DBN where we especially focus in Inference and Learning concepts and algorithms. Then we will present different levels and methods of creating DBNs as well as approaches of incorporating temporal dimension in static Bayesian network.

Keywords

DBN DAG Inference Learning HMM EM Algorithm SEM MLE coupled HMMs.

How to Cite this Article

Ghanmi, N., Mahjoub, M. A., & Amara, N. E. B. (2011). Characterization of Dynamic Bayesian Network-The Dynamic Bayesian Network as temporal network. International Journal of Advanced Computer Science and Applications, 2(7). https://doi.org/10.14569/IJACSA.2011.020708

Ghanmi, Nabil, et al.. "Characterization of Dynamic Bayesian Network-The Dynamic Bayesian Network as temporal network." International Journal of Advanced Computer Science and Applications, vol. 2, no. 7, 2011, https://doi.org/10.14569/IJACSA.2011.020708.

@article{Ghanmi2011,
  title     = {Characterization of Dynamic Bayesian Network-The Dynamic Bayesian Network as temporal network},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {2},
  number    = {7},
  year      = {2011},
  publisher = {The Science and Information Organization},
  author    = {Nabil Ghanmi and Mohamed Ali Mahjoub and Najoua Essoukri Ben Amara},
  doi       = {10.14569/IJACSA.2011.020708},
  url       = {https://doi.org/10.14569/IJACSA.2011.020708}
}

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Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
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