This project presents an implementation of the Sequential Minimal Optimization (SMO) algorithm to solve the dual optimization problem of the Soft-Margin Support Vector Machine (SVM). The SMO algorithm ...

The Support Vector methods was proposed by V.Vapnik in 1965, when he was trying to solve problems in pattern recognition. In 1971, Kimeldorf proposed a method of constructing kernel space based on ...

P. R. Perea, “Algorithms for Training Large-Scale Linear Programming Support Vector Regression and Classification,” Ph.D. Dissertation, The University of Texas, El Paso, 2011. P. Rivas-Perea and J.