Adaptive Splitting and Selection Method of Classifier Ensemble Building

Authors:
Konrad Jackowski;Michal Wozniak
Affiliations:
Chair of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland 50-370;Chair of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland 50-370
Venue:
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Year:
2009

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Abstract

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.