Francesco Tortorella. An empirical comparison of in-learning and post-learning optimization schemes for tuning the support vector machines in cost-sensitive applications. In 12th International Conference on Image Analysis and Processing (ICIAP 2003), 17-19 September 2003, Mantova, Italy. pages 560-565, IEEE Computer Society, 2003. [doi]
@inproceedings{Tortorella03:0,
title = {An empirical comparison of in-learning and post-learning optimization schemes for tuning the support vector machines in cost-sensitive applications},
author = {Francesco Tortorella},
year = {2003},
url = {http://csdl.computer.org/comp/proceedings/iciap/2003/1948/00/19480560abs.htm},
tags = {empirical, optimization, machine learning},
researchr = {https://researchr.org/publication/Tortorella03%3A0},
cites = {0},
citedby = {0},
pages = {560-565},
booktitle = {12th International Conference on Image Analysis and Processing (ICIAP 2003), 17-19 September 2003, Mantova, Italy},
publisher = {IEEE Computer Society},
isbn = {0-7695-1948-2},
}