Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo. Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble. In Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang, editors, Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I. Volume 4232 of Lecture Notes in Computer Science, pages 688-697, Springer, 2006. [doi]
@inproceedings{Torres-SospedraHF06a:2,
title = {Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble},
author = {Joaquín Torres-Sospedra and Carlos Hernández-Espinosa and Mercedes Fernández-Redondo},
year = {2006},
doi = {10.1007/11893028_77},
url = {http://dx.doi.org/10.1007/11893028_77},
researchr = {https://researchr.org/publication/Torres-SospedraHF06a%3A2},
cites = {0},
citedby = {0},
pages = {688-697},
booktitle = {Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I},
editor = {Irwin King and Jun Wang and Laiwan Chan and DeLiang L. Wang},
volume = {4232},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {3-540-46479-4},
}