ML Anthology

OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models

Manuel Arias, Jorge Pérez-Martín, Manuel Luque, Francisco Javier Díez
IJCAI 2019 pp. 6485-6487
doi:10.24963/IJCAI.2019/931 /ijcai/2019/arias2019ijcai-openmarkov/

Abstract

OpenMarkov is a Java open-source tool for creating and evaluating probabilistic graphical models, including Bayesian networks, influence diagrams, and some Markov models. With more than 100,000 lines of code, it offers some features for interactive learning, explanation of reasoning, and cost-effectiveness analysis, which are not available in any other tool. OpenMarkov has been used at universities, research centers, and large companies in more than 30 countries on four continents. Several models, some of them for real-world medical applications, built with OpenMarkov, are publicly available on Internet.

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Text

Arias et al. "OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models." International Joint Conference on Artificial Intelligence, 2019. doi:10.24963/IJCAI.2019/931

Markdown

[Arias et al. "OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models." International Joint Conference on Artificial Intelligence, 2019.](https://mlanthology.org/ijcai/2019/arias2019ijcai-openmarkov/) doi:10.24963/IJCAI.2019/931

BibTeX

@inproceedings{arias2019ijcai-openmarkov,
  title     = {{OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models}},
  author    = {Arias, Manuel and Pérez-Martín, Jorge and Luque, Manuel and Díez, Francisco Javier},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2019},
  pages     = {6485-6487},
  doi       = {10.24963/IJCAI.2019/931},
  url       = {https://mlanthology.org/ijcai/2019/arias2019ijcai-openmarkov/}
}