An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection

Soumen Ghosh, P. S. V. S. Sai Prasad, C. Raghavendra Rao. An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection. In Chattrakul Sombattheera, Frieder Stolzenburg, Fangzhen Lin, Abhaya C. Nayak, editors, Multi-disciplinary Trends in Artificial Intelligence - 10th International Workshop, MIWAI 2016, Chiang Mai, Thailand, December 7-9, 2016, Proceedings. Volume 10053 of Lecture Notes in Computer Science, pages 38-49, Springer, 2016. [doi]

@inproceedings{GhoshPR16,
  title = {An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection},
  author = {Soumen Ghosh and P. S. V. S. Sai Prasad and C. Raghavendra Rao},
  year = {2016},
  doi = {10.1007/978-3-319-49397-8_4},
  url = {http://dx.doi.org/10.1007/978-3-319-49397-8_4},
  researchr = {https://researchr.org/publication/GhoshPR16},
  cites = {0},
  citedby = {0},
  pages = {38-49},
  booktitle = {Multi-disciplinary Trends in Artificial Intelligence - 10th International Workshop, MIWAI 2016, Chiang Mai, Thailand, December 7-9, 2016, Proceedings},
  editor = {Chattrakul Sombattheera and Frieder Stolzenburg and Fangzhen Lin and Abhaya C. Nayak},
  volume = {10053},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-49396-1},
}