Jair Cervantes, De-Shuang Huang, Farid García-Lamont, Asdrúbal López Chau. A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets. In De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, editors, Intelligent Computing Theory - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings. Volume 8588 of Lecture Notes in Computer Science, pages 782-788, Springer, 2014. [doi]
@inproceedings{CervantesHGC14,
title = {A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets},
author = {Jair Cervantes and De-Shuang Huang and Farid García-Lamont and Asdrúbal López Chau},
year = {2014},
doi = {10.1007/978-3-319-09333-8_85},
url = {http://dx.doi.org/10.1007/978-3-319-09333-8_85},
researchr = {https://researchr.org/publication/CervantesHGC14},
cites = {0},
citedby = {0},
pages = {782-788},
booktitle = {Intelligent Computing Theory - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings},
editor = {De-Shuang Huang and Vitoantonio Bevilacqua and Prashan Premaratne},
volume = {8588},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-09332-1},
}