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

This is the latest version of this item.

[thumbnail of beamECOC_(2).pdf] PDF
beamECOC_(2).pdf

Download (220kB)

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

Available Versions of this Item

Actions (login required)

View Item
View Item