Shota Okumura, Yoshiki Suzuki, Ichiro Takeuchi. Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems. In Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams, editors, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015. pages 885-894, ACM, 2015. [doi]
@inproceedings{OkumuraST15,
title = {Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems},
author = {Shota Okumura and Yoshiki Suzuki and Ichiro Takeuchi},
year = {2015},
doi = {10.1145/2783258.2783347},
url = {http://doi.acm.org/10.1145/2783258.2783347},
researchr = {https://researchr.org/publication/OkumuraST15},
cites = {0},
citedby = {0},
pages = {885-894},
booktitle = {Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015},
editor = {Longbing Cao and Chengqi Zhang and Thorsten Joachims and Geoffrey I. Webb and Dragos D. Margineantu and Graham Williams},
publisher = {ACM},
isbn = {978-1-4503-3664-2},
}