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
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;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334060
