Information-Theoretic Feature Selection for the Classification of Hysteresis Curves

Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury. Information-Theoretic Feature Selection for the Classification of Hysteresis Curves. In Francisco Sandoval Hernández, Alberto Prieto, Joan Cabestany, Manuel Graña, editors, Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings. Volume 4507 of Lecture Notes in Computer Science, pages 522-529, Springer, 2007. [doi]

@inproceedings{Gomez-VerdejoVF07,
  title = {Information-Theoretic Feature Selection for the Classification of Hysteresis Curves},
  author = {Vanessa Gómez-Verdejo and Michel Verleysen and Jérôme Fleury},
  year = {2007},
  doi = {10.1007/978-3-540-73007-1_64},
  url = {http://dx.doi.org/10.1007/978-3-540-73007-1_64},
  tags = {classification},
  researchr = {https://researchr.org/publication/Gomez-VerdejoVF07},
  cites = {0},
  citedby = {0},
  pages = {522-529},
  booktitle = {Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings},
  editor = {Francisco Sandoval Hernández and Alberto Prieto and Joan Cabestany and Manuel Graña},
  volume = {4507},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-73006-4},
}