DocumentCode
3432087
Title
Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm
Author
Tremblay, Guillaume ; Sabourin, Robert ; Maupin, Patrick
Author_Institution
Ecole de Technol. Superieure, Montreal, Que., Canada
Volume
1
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
208
Abstract
In this work, the authors have evaluated almost 20 millions ensembles of classifiers generated by several methods. Trying to optimize those ensembles based on the nearest neighbours and the random subspaces paradigms, we found that the use of a diversity metric called "ambiguity" had no better positive impact than plain stochastic search.
Keywords
genetic algorithms; pattern classification; multiobjective genetic algorithm; nearest neighbour optimization; pattern classifiers; random subspaces method; stochastic search method; Databases; Genetic algorithms; NIST; Optimization methods; Pattern recognition; Performance loss; Prototypes; Research and development; Stochastic processes; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334060
Filename
1334060
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