Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks

José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini. Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks. In Gabriella Casalino, Giovanna Castellano, Katarzyna Kaczmarek-Majer, Daniel Leite, editors, Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), Padova, Italy, July 18, 2022. Volume 3380 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. [doi]

@inproceedings{BarcenaDMRR22,
  title = {Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks},
  author = {José Luis Corcuera Bárcena and Pietro Ducange and Francesco Marcelloni and Alessandro Renda and Fabrizio Ruffini},
  year = {2022},
  url = {https://ceur-ws.org/Vol-3380/paper3.pdf},
  researchr = {https://researchr.org/publication/BarcenaDMRR22},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), Padova, Italy, July 18, 2022},
  editor = {Gabriella Casalino and Giovanna Castellano and Katarzyna Kaczmarek-Majer and Daniel Leite},
  volume = {3380},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}