Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification

Reynolds, Alan P., Dicks, Jo L., Roberts, Ian N., Wesselink, Jan-Jap, de la Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826, Robert, Vincent, Boekhout, Teun and Rayward-Smith, Victor J. (2003) Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification. In: Applications of Evolutionary Computing. Lecture Notes in Computer Science, 2611 . Springer, pp. 95-104. ISBN 978-3-540-00976-4

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Abstract

Algorithms for the automated creation of low cost identification keys are described and theoretical and empirical justifications are provided. The algorithms are shown to handle differing test costs, prior probabilities for each potential diagnosis and tests that produce uncertain results. The approach is then extended to cover situations where more than one measure of cost is of importance, by allowing tests to be performed in batches. Experiments are performed on a real-world case study involving the identification of yeasts.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Science > Research Groups > Data Science and Statistics Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre
Related URLs:	http://www.springerlink.com/content/kt7t...
Depositing User:	Vishal Gautam
Date Deposited:	23 Jul 2011 19:24
Last Modified:	18 Apr 2023 01:02
URI:	https://ueaeprints.uea.ac.uk/id/eprint/21895
DOI:	10.1007/3-540-36605-9_11

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