Benoît Frénay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer. Valid interpretation of feature relevance for linear data mappings. In 2014 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2014, Orlando, FL, USA, December 9-12, 2014. pages 149-156, IEEE, 2014. [doi]
@inproceedings{FrenayHSBH14,
title = {Valid interpretation of feature relevance for linear data mappings},
author = {Benoît Frénay and Daniela Hofmann and Alexander Schulz and Michael Biehl and Barbara Hammer},
year = {2014},
doi = {10.1109/CIDM.2014.7008661},
url = {http://dx.doi.org/10.1109/CIDM.2014.7008661},
researchr = {https://researchr.org/publication/FrenayHSBH14},
cites = {0},
citedby = {0},
pages = {149-156},
booktitle = {2014 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2014, Orlando, FL, USA, December 9-12, 2014},
publisher = {IEEE},
isbn = {978-1-4799-4519-1},
}