Multi-task Transfer Learning for Bayesian Network Structures

Sarah Benikhlef, Philippe Leray, Guillaume Raschia, Montassar Ben Messaoud, Fayrouz Sakly. Multi-task Transfer Learning for Bayesian Network Structures. In Jirina Vejnarová, Nic Wilson, editors, Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 16th European Conference, ECSQARU 2021, Prague, Czech Republic, September 21-24, 2021, Proceedings. Volume 12897 of Lecture Notes in Computer Science, pages 217-228, Springer, 2021. [doi]

@inproceedings{BenikhlefLRMS21,
  title = {Multi-task Transfer Learning for Bayesian Network Structures},
  author = {Sarah Benikhlef and Philippe Leray and Guillaume Raschia and Montassar Ben Messaoud and Fayrouz Sakly},
  year = {2021},
  doi = {10.1007/978-3-030-86772-0_16},
  url = {https://doi.org/10.1007/978-3-030-86772-0_16},
  researchr = {https://researchr.org/publication/BenikhlefLRMS21},
  cites = {0},
  citedby = {0},
  pages = {217-228},
  booktitle = {Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 16th European Conference, ECSQARU 2021, Prague, Czech Republic, September 21-24, 2021, Proceedings},
  editor = {Jirina Vejnarová and Nic Wilson},
  volume = {12897},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86772-0},
}