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ECOC Pruning using Accuracy, Diversity and Hamming Distance Information

Zor, C, Windeatt, T and Kittler, J (2013) ECOC Pruning using Accuracy, Diversity and Hamming Distance Information In: 21st Signal Processing and Communications Applications Conference (SIU), 2013-04-24 - 2013-04-26, CYPRUS.

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Abstract

Existing ensemble pruning algorithms in the literature have mainly been defined for unweighted or weighted voting ensembles, whose extensions to the Error Correcting Output Coding (ECOC) framework is not successful. This paper presents a novel pruning algorithm to be used in the pruning of ECOC, via using a new accuracy measure together with diversity and Hamming distance information. The results show that the novel method outperforms those existing in the state-of-the-art.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Zor, CUNSPECIFIEDUNSPECIFIED
Windeatt, TUNSPECIFIEDUNSPECIFIED
Kittler, JUNSPECIFIEDUNSPECIFIED
Date : 1 January 2013
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Science & Technology, Technology, Engineering, Electrical & Electronic, Telecommunications, Engineering, ensemble, pruning, ECOC
Related URLs :
Additional Information : © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 05 Dec 2014 15:38
Last Modified : 17 Jan 2015 14:52
URI: http://epubs.surrey.ac.uk/id/eprint/806684

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