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In this work, we propose a novel framework for treating the optimization of an ECOC matrix inspired on GA. In this framework the operators have been completely ...
In this work, we propose a novel Genetic Inspired Error Correcting Output Codes (ECOC) Optimization, which looks for an efficient problem-dependent encoding ...
A novel Genetic Inspired Error Correcting Output Codes (ECOC) Optimization, which looks for an efficient problem-dependent encoding of the multi-class task ...
Nov 7, 2012 · This optimization procedure is based on novel ECOC-Compliant crossover, mutation, and extension operators, which guide the optimization process ...
(PDF) A Genetic Inspired Optimization for ECOC - Academia.edu
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Genetic algorithm-based neural error correcting output classifier · Stefano Rovetta. 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning ( ...
Nov 21, 2024 · This optimization procedure is based on novel ECOC-Compliant crossover, mutation, and extension operators, which guide the optimization process ...
In this work, we propose a novel Genetic Inspired Error Correcting Output Codes (ECOC) Optimization, which looks for an efficient problem-dependent encoding ...
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A novel ECOC algorithm is proposed based on Genetic Programming. Each tree-structure individual represents a solution for a multiclass problem.
Oct 22, 2024 · In this work, we propose a novel Genetic Inspired Error Correcting Output Codes (ECOC) Optimization, which looks for an efficient problem- ...
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