A study of support vectors on model independent example selection

Abstract

As databases for real-world problems increase in size, there is a need in many situations to select and keep relevant training data for efficient storage and processing reasons. Support vector machines (SVMs) reportedly exhibit certain desirable properties in selecting and preserving useful training data as support vectors.