Introducing the separability matrix for error correcting output codes coding

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Abstract

Error Correcting Output Codes (ECOC) have demonstrate to be a powerful tool for treating multi-class problems. Nevertheless, predefined ECOC designs may not benefit from Error-correcting principles for particular multi-class data. In this paper, we introduce the Separability matrix as a tool to study and enhance designs for ECOC coding. In addition, a novel problem-dependent coding design based on the Separability matrix is tested over a wide set of challenging multi-class problems, obtaining very satisfactory results. © 2011 Springer-Verlag.

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Bautista, M. Á., Pujol, O., Baró, X., & Escalera, S. (2011). Introducing the separability matrix for error correcting output codes coding. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6713 LNCS, pp. 227–236). https://doi.org/10.1007/978-3-642-21557-5_25

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