Title
Algorithms for identification key generation and optimization with application to yeast identification
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.
Year
DOI
Venue
2003
10.1007/3-540-36605-9_11
EvoWorkshops
Keywords
Field
DocType
yeast identification,empirical justification,prior probability,potential diagnosis,test cost,low cost identification key,uncertain result,identification key generation,automated creation,real-world case study
Evolutionary algorithm,Computer science,Algorithm,Greedy algorithm,Identification key,Entropy (information theory)
Conference
Volume
ISSN
ISBN
2611
0302-9743
3-540-00976-0
Citations 
PageRank 
References 
1
0.42
1
Authors
8
Name
Order
Citations
PageRank
Alan P. Reynolds115711.57
Jo L Dicks2305.04
Ian N Roberts3193.88
Jan-Jap Wesselink410.42
Beatriz De La Iglesia519120.07
Vincent Robert631.80
Teun Boekhout7192.35
Victor J. Rayward-Smith818320.94