Aki Sorsa, Kauko Leiviskä. Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation. In Mikko Kolehmainen, Pekka J. Toivanen, Bartlomiej Beliczynski, editors, Adaptive and Natural Computing Algorithms, 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers. Volume 5495 of Lecture Notes in Computer Science, pages 213-222, Springer, 2009. [doi]
@inproceedings{SorsaL09,
title = {Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation},
author = {Aki Sorsa and Kauko Leiviskä},
year = {2009},
doi = {10.1007/978-3-642-04921-7_22},
url = {http://dx.doi.org/10.1007/978-3-642-04921-7_22},
tags = {data validation, data-flow},
researchr = {https://researchr.org/publication/SorsaL09},
cites = {0},
citedby = {0},
pages = {213-222},
booktitle = {Adaptive and Natural Computing Algorithms, 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers},
editor = {Mikko Kolehmainen and Pekka J. Toivanen and Bartlomiej Beliczynski},
volume = {5495},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-642-04920-0},
}