BeamECOC: a local search for the optimization of the ECOC matrix

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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

Abstract

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.

Item Type:	Papers in Conference Proceedings
Uncontrolled Keywords:	Beam search; ECOC; Ensemble; Error correcting output codes; Learning
Subjects:	Q Science > QA Mathematics
Divisions:	Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng. Faculty of Engineering and Natural Sciences
Depositing User:	Berrin Yanıkoğlu
Date Deposited:	01 Jun 2017 11:48
Last Modified:	26 Apr 2022 09:26
URI:	https://research.sabanciuniv.edu/id/eprint/32286

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BeamECOC: a local search for the optimization of the ECOC matrix. (deposited 23 Sep 2016 11:27)
- BeamECOC: a local search for the optimization of the ECOC matrix. (deposited 01 Jun 2017 11:48) [Currently Displayed]

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