Improving Support Vector Classification via the Combination of Multiple Sources of Information - researchr publication authors

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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]

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