Enhancing the Performance of SVM on Skewed Data Sets by Exciting Support Vectors

José Hernández Santiago, Jair Cervantes, Asdrúbal López Chau, Farid García-Lamont. Enhancing the Performance of SVM on Skewed Data Sets by Exciting Support Vectors. In Juan Pavón, Néstor D. Duque-Méndez, Rubén Fuentes-Fernández, editors, Advances in Artificial Intelligence - IBERAMIA 2012 - 13th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 13-16, 2012. Proceedings. Volume 7637 of Lecture Notes in Computer Science, pages 101-110, Springer, 2012. [doi]

@inproceedings{SantiagoCCL12,
  title = {Enhancing the Performance of SVM on Skewed Data Sets by Exciting Support Vectors},
  author = {José Hernández Santiago and Jair Cervantes and Asdrúbal López Chau and Farid García-Lamont},
  year = {2012},
  doi = {10.1007/978-3-642-34654-5_11},
  url = {http://dx.doi.org/10.1007/978-3-642-34654-5_11},
  researchr = {https://researchr.org/publication/SantiagoCCL12},
  cites = {0},
  citedby = {0},
  pages = {101-110},
  booktitle = {Advances in Artificial Intelligence - IBERAMIA 2012 - 13th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 13-16, 2012. Proceedings},
  editor = {Juan Pavón and Néstor D. Duque-Méndez and Rubén Fuentes-Fernández},
  volume = {7637},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-34653-8},
}