Javier M. Moguerza, Alberto Muñoz, Isaac Martín de Diego. Improving Support Vector Classification via the Combination of Multiple Sources of Information. In Ana L. N. Fred, Terry Caelli, Robert P. W. Duin, Aurélio C. Campilho, Dick de Ridder, editors, Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings. Volume 3138 of Lecture Notes in Computer Science, pages 592-600, Springer, 2004. [doi]
@inproceedings{MoguerzaMD04,
title = {Improving Support Vector Classification via the Combination of Multiple Sources of Information},
author = {Javier M. Moguerza and Alberto Muñoz and Isaac Martín de Diego},
year = {2004},
url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=3138&spage=592},
tags = {classification, source-to-source, open-source},
researchr = {https://researchr.org/publication/MoguerzaMD04},
cites = {0},
citedby = {0},
pages = {592-600},
booktitle = {Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings},
editor = {Ana L. N. Fred and Terry Caelli and Robert P. W. Duin and Aurélio C. Campilho and Dick de Ridder},
volume = {3138},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {3-540-22570-6},
}