Journal
ARTIFICIAL INTELLIGENCE REVIEW
Volume 33, Issue 1-2, Pages 1-39Publisher
SPRINGER
DOI: 10.1007/s10462-009-9124-7
Keywords
Ensemble of classifiers; Supervised learning; Classification; Boosting
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The idea of ensemble methodology is to build a predictive model by integrating multiple models. It is well-known that ensemble methods can be used for improving prediction performance. Researchers from various disciplines such as statistics and AI considered the use of ensemble methodology. This paper, review existing ensemble techniques and can be served as a tutorial for practitioners who are interested in building ensemble based systems.
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