Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena

Daniele Ramazzotti, Marco S. Nobile, Marco Antoniotti, Alex Graudenzi. Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena. In Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part I. Volume 10860 of Lecture Notes in Computer Science, pages 678-693, Springer, 2018. [doi]

@inproceedings{RamazzottiNAG18,
  title = {Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena},
  author = {Daniele Ramazzotti and Marco S. Nobile and Marco Antoniotti and Alex Graudenzi},
  year = {2018},
  doi = {10.1007/978-3-319-93698-7_52},
  url = {https://doi.org/10.1007/978-3-319-93698-7_52},
  researchr = {https://researchr.org/publication/RamazzottiNAG18},
  cites = {0},
  citedby = {0},
  pages = {678-693},
  booktitle = {Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part I},
  editor = {Yong Shi and Haohuan Fu and Yingjie Tian and Valeria V. Krzhizhanovskaya and Michael Harold Lees and Jack J. Dongarra and Peter M. A. Sloot},
  volume = {10860},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-93698-7},
}