Jhoseph Jesus, Anne Canuto, Daniel Araújo. A Feature Selection Approach Based on Information Theory for Classification Tasks. In Alessandra Lintas, Stefano Rovetta, Paul F. M. J. Verschure, Alessandro E. P. Villa, editors, Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II. Volume 10614 of Lecture Notes in Computer Science, pages 359-367, Springer, 2017. [doi]
@inproceedings{JesusCA17,
title = {A Feature Selection Approach Based on Information Theory for Classification Tasks},
author = {Jhoseph Jesus and Anne Canuto and Daniel Araújo},
year = {2017},
doi = {10.1007/978-3-319-68612-7_41},
url = {https://doi.org/10.1007/978-3-319-68612-7_41},
researchr = {https://researchr.org/publication/JesusCA17},
cites = {0},
citedby = {0},
pages = {359-367},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II},
editor = {Alessandra Lintas and Stefano Rovetta and Paul F. M. J. Verschure and Alessandro E. P. Villa},
volume = {10614},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-68612-7},
}