Learning from Data Using Support Vector Machines

Srdjan Stanković, Miloš Stanković, Maja Stanković, and Milan Milosavljević

Abstract: Learning from data is discussed from the point of view of support vector machines. A specific algorithm solving the polychotomy problem is described. The methodology is illustrated on two complex examples taken from practice.

Keywords: Signal processing, learning, support vector machines.