Al interior de una máquina de soporte vectorial.
support vectors supervised learning data classification kernel separating hyperplane Lagrange multipliers SMO algorithm.
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This article addresses theoretical and algorithmic issues related to Support Vector Machines (SVMs), kernel functions and the SMO algorithm, all important tools in the solution of classification problems. Detailed operation of these algorithms applied to the solution of a simple problem is described, trying to fill a gap in the extensive theoretical literature about SVM.
Jiménez Moscovitz, L., & Rengifo Rengifo, P. (2010). Al interior de una máquina de soporte vectorial. Revista De Ciencias, 14, 73–85. https://doi.org/10.25100/rc.v14i0.655
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