Quantifying Relevance of Input Features

Wenjia Wang. Quantifying Relevance of Input Features. In Hujun Yin, Nigel M. Allinson, Richard T. Freeman, John A. Keane, Simon J. Hubbard, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2002, Third International Conference, Manchester, UK, August 12-14, Proceedings. Volume 2412 of Lecture Notes in Computer Science, pages 588-594, Springer, 2002. [doi]

@inproceedings{Wang02:4,
  title = {Quantifying Relevance of Input Features},
  author = {Wenjia Wang},
  year = {2002},
  url = {http://link.springer.de/link/service/series/0558/bibs/2412/24120588.htm},
  researchr = {https://researchr.org/publication/Wang02%3A4},
  cites = {0},
  citedby = {0},
  pages = {588-594},
  booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2002, Third International Conference, Manchester, UK, August 12-14, Proceedings},
  editor = {Hujun Yin and Nigel M. Allinson and Richard T. Freeman and John A. Keane and Simon J. Hubbard},
  volume = {2412},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-44025-9},
}