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
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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||