A Genetic Inspired Optimization for ECOC
نویسندگان
چکیده
In this work, we propose a novel Genetic Inspired Error Correcting Output Codes (ECOC) Optimization, which looks for an efficient problem-dependent encoding of the multi-class task with high generalization performance. This optimization procedure is based on novel ECOCCompliant crossover, mutation, and extension operators, which guide the optimization process to promising regions of the search space. The results on several public datasets show significant performance improvements as compared to state-of-the-art ECOC strategies.
منابع مشابه
On the design of an ECOC-Compliant Genetic Algorithm
Genetic Algorithms (GA) have been previously applied to Error-Correcting Output Codes (ECOC) in stateof-the-art works in order to find a suitable coding matrix. Nevertheless, none of the presented techniques directly take into account the properties of the ECOC matrix. As a result the considered search space is unnecessarily large. In this paper, a novel Genetic strategy to optimize the ECOC co...
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