Shaping the error-reject curve of error correcting output coding systems

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Abstract

A common approach in many classification tasks consists in reducing the costs by turning as many errors as possible into rejects. This can be accomplished by introducing a reject rule which, working on the reliability of the decision, aims at increasing the performance of the classification system. When facing multiclass classification, Error Correcting Output Coding is a diffused and successful technique to implement a system by decomposing the original problem into a set of two class problems. The novelty in this paper is to consider different levels where the reject can be applied in the ECOC systems. A study for the behavior of such rules in terms of Error-Reject curves is also proposed and tested on several benchmark datasets. © 2011 Springer-Verlag.

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APA

Simeone, P., Marrocco, C., & Tortorella, F. (2011). Shaping the error-reject curve of error correcting output coding systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6978 LNCS, pp. 118–127). https://doi.org/10.1007/978-3-642-24085-0_13

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