BeamECOC: a local search for the optimization of the ECOC matrix
Zor, Cemre and Yanıkoğlu, Berrin and Merdivan, Erinç and Windeatt, Terry and Kittler, Joseph and Alpaydın, Ethem (2017) BeamECOC: a local search for the optimization of the ECOC matrix. In: 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico
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Official URL: http://dx.doi.org/10.1109/ICPR.2016.7899633
Error Correcting Output Coding (ECOC) is a multi-class classification technique in which multiple binary classifiers are trained according to a preset code matrix such that each one learns a separate dichotomy of the classes. While ECOC is one of the best solutions for multi-class problems, one issue which makes it suboptimal is that the training of the base classifiers is done independently of the generation of the code matrix.
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