loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Optimizing Nearest Neighbour in Random Subspaces using a Multi-Objective Genetic Algorithm
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Guillaume Tremblay, ?cole de technologie sup?rieure, Montr?al, Canada
Robert Sabourin, ?cole de technologie sup?rieure, Montr?al, Canada
Patrick Maupin, Defence Research and Development Canada, Valcartier, Canada
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.
Citation:
Guillaume Tremblay, Robert Sabourin, Patrick Maupin, "Optimizing Nearest Neighbour in Random Subspaces using a Multi-Objective Genetic Algorithm," icpr, vol. 1, pp.208, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
Usage of this product signifies your acceptance of the Terms of Use.