Smoothness and sparsity tuning for Semi-Supervised SVM

Gilles Gasso, Karina Zapien Arreola, Stéphane Canu. Smoothness and sparsity tuning for Semi-Supervised SVM. In Françoise Fogelman-Soulié, Domenico Perrotta, Jakub Piskorski, Ralf Steinberger, editors, Mining Massive Data Sets for Security - Advances in Data Mining, Search, Social Networks and Text Mining, and their Applications to Security, Proceedings of the NATO Advanced Study Institute on Mining Massive Data Sets for Security, Gazzada (Varese), Italy, 10-21 September 2007. Volume 19 of NATO Science for Peace and Security Series - D: Information and Communication Security, pages 85-86, IOS Press, 2007. [doi]

@inproceedings{GassoAC07-1,
  title = {Smoothness and sparsity tuning for Semi-Supervised SVM},
  author = {Gilles Gasso and Karina Zapien Arreola and Stéphane Canu},
  year = {2007},
  doi = {10.3233/978-1-58603-898-4-85},
  url = {https://doi.org/10.3233/978-1-58603-898-4-85},
  researchr = {https://researchr.org/publication/GassoAC07-1},
  cites = {0},
  citedby = {0},
  pages = {85-86},
  booktitle = {Mining Massive Data Sets for Security - Advances in Data Mining, Search, Social Networks and Text Mining, and their Applications to Security, Proceedings of the NATO Advanced Study Institute on Mining Massive Data Sets for Security, Gazzada (Varese), Italy, 10-21 September 2007},
  editor = {Françoise Fogelman-Soulié and Domenico Perrotta and Jakub Piskorski and Ralf Steinberger},
  volume = {19},
  series = {NATO Science for Peace and Security Series - D: Information and Communication Security},
  publisher = {IOS Press},
  isbn = {978-1-58603-898-4},
}