Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes
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Updated: Jul 31, 2026

Errors as a Means of Reducing Impulsive Food Choice
Published on: June 5, 2016
Oriol Pujol1, Petia Radeva, Jordi Vitrià
1Departament de Matemática Aplicada i Análisi, Universitat de Barcelona, Gran Via 585, Barcelona, 08007, Spain. oriol@maia.ub.es
Abstract:
We present a heuristic method for learning error correcting output codes matrices based on a hierarchical partition of the class space that maximizes a discriminative criterion. To achieve this goal, the optimal codeword separation is sacrificed in favor of a maximum class discrimination in the partitions. The creation of the hierarchical partition set is performed using a binary tree. As a result, a compact matrix with high discrimination power is obtained. Our method is validated using the UCI database and applied to a real problem, the classification of traffic sign images.
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