2009 | OriginalPaper | Chapter
Adaptive Splitting and Selection Method of Classifier Ensemble Building
Authors : Konrad Jackowski, Michal Wozniak
Published in: Hybrid Artificial Intelligence Systems
Publisher: Springer Berlin Heidelberg
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The paper presents a novel machine learning method which allows obtaining compound classifier. Its idea bases on splitting feature space into separate regions and choosing the best classifier from available set of recognizers for each region. Splitting and selection take place simultaneously as a part of an optimization process. Evolutionary algorithm is used to find out the optimal solution. The quality of the proposed method is evaluated via computer experiments.