Constructing error correcting output coding classifiers
Nobuhiko Yamaguchi, Naohiro Ishii · 2002
The topic of this paper is a special family of classifiers known as error correcting output coding (ECOC) classifiers. These are one of ensemble methods which prepare redundant discriminant functions and then construct a classifier by combining these discriminant functions. We focus on a method for combining the discriminant functions and develop a extension of the ECOC classifiers. Experiments on artificial data demonstrate that a much better performance can be obtained by the new classifier.