pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods

Antoine Veillard, Daniel Racoceanu, Stéphane Bressan. pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods. In 11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1. pages 156-161, IEEE, 2012. [doi]

@inproceedings{VeillardRB12,
  title = {pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods},
  author = {Antoine Veillard and Daniel Racoceanu and Stéphane Bressan},
  year = {2012},
  doi = {10.1109/ICMLA.2012.33},
  url = {http://dx.doi.org/10.1109/ICMLA.2012.33},
  researchr = {https://researchr.org/publication/VeillardRB12},
  cites = {0},
  citedby = {0},
  pages = {156-161},
  booktitle = {11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1},
  publisher = {IEEE},
  isbn = {978-1-4673-4651-1},
}