Genetic Algorithms for Multi-Classifier System Configuration: A Case Study in Character Recognition

Sirlantzis, Konstantinos, Fairhurst, Michael, Hoque, Sanaul (2001) Genetic Algorithms for Multi-Classifier System Configuration: A Case Study in Character Recognition. In: Kittler, Josef and Roli, Fabio, eds. Multiple Classifier Systems (Second International Workshop, MCS 2001, Cambridge UK), Lecture Notes in Computer Science 2096. . pp. 99-108. Springer (doi:10.1007/3-540-48219-9_10) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:6600)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: https://doi.org/10.1007/3-540-48219-9_10

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.1007/3-540-48219-9_10
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7885 Computer engineering. Computer hardware
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Konstantinos Sirlantzis
Date Deposited:	29 Jun 2011 13:22 UTC
Last Modified:	09 Mar 2023 11:30 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/6600 (The current URI for this page, for reference purposes)

University of Kent Author Information

Sirlantzis, Konstantinos.

Creator's ORCID:	https://orcid.org/0000-0002-0847-8880
CReDIT Contributor Roles:

Fairhurst, Michael.

Creator's ORCID:
CReDIT Contributor Roles:

Hoque, Sanaul.

Creator's ORCID:	https://orcid.org/0000-0001-8627-3429
CReDIT Contributor Roles:

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