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Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm | IEEE Conference Publication | IEEE Xplore

Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm


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...Show More

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.
Date of Conference: 26-26 August 2004
Date Added to IEEE Xplore: 20 September 2004
Print ISBN:0-7695-2128-2
Print ISSN: 1051-4651
Conference Location: Cambridge, UK

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