Evaluating Hebbian Learning in a Semi-supervised Setting

Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato. Evaluating Hebbian Learning in a Semi-supervised Setting. In Giuseppe Nicosia, Varun Ojha 0001, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, editors, Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II. Volume 13164 of Lecture Notes in Computer Science, pages 365-379, Springer, 2021. [doi]

@inproceedings{LaganiFGA21a,
  title = {Evaluating Hebbian Learning in a Semi-supervised Setting},
  author = {Gabriele Lagani and Fabrizio Falchi and Claudio Gennaro and Giuseppe Amato},
  year = {2021},
  doi = {10.1007/978-3-030-95470-3_28},
  url = {https://doi.org/10.1007/978-3-030-95470-3_28},
  researchr = {https://researchr.org/publication/LaganiFGA21a},
  cites = {0},
  citedby = {0},
  pages = {365-379},
  booktitle = {Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II},
  editor = {Giuseppe Nicosia and Varun Ojha 0001 and Emanuele La Malfa and Gabriele La Malfa and Giorgio Jansen and Panos M. Pardalos and Giovanni Giuffrida and Renato Umeton},
  volume = {13164},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-95470-3},
}