Resumen de Optimization problems arising in SVR

Emilio Carrizosa Priego , José F. Gordillo Santofimia, Frank Plastria

• Standard Support Vector Regression (SVR) reduces the search of a linear prediction to solving a convex quadratic problem with linear constraints.

  We analyze the optimization problems arising in some variants of this basic model.

  Special attention will be made to the case of imprecise data.