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 ...

The SMO algorithm utilizes a divide-and-conquer approach to efficiently tackle the quadratic programming problem inherent in SVM training. - rmarlon308/SMO-for-SVM-Implementation This project presents ...

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.