Journal
EXPERT SYSTEMS
Volume 27, Issue 2, Pages 114-128Publisher
WILEY
DOI: 10.1111/j.1468-0394.2010.00513.x
Keywords
pattern recognition; multiple classifier system; classifier selection; evolutionary algorithms
Funding
- Polish State Committee for Scientific Research
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The paper presents a novel machine learning algorithm used for training a compound classifier system that consists of a set of area classifiers. Area classifiers recognize objects derived from the respective competence area. Splitting feature space into areas and selecting area classifiers are two key processes of the algorithm; both take place simultaneously in the course of an optimization process aimed at maximizing the system performance. An evolutionary algorithm is used to find the optimal solution. A number of experiments have been carried out to evaluate system performance. The results prove that the proposed method outperforms each elementary classifier as well as simple voting.
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