Artificial Intelligence Review

, Volume 33, Issue 1, pp 1–39

Ensemble-based classifiers

Authors

    • Department of Information System EngineeringBen-Gurion University of the Negev
Article

DOI: 10.1007/s10462-009-9124-7

Cite this article as:
Rokach, L. Artif Intell Rev (2010) 33: 1. doi:10.1007/s10462-009-9124-7

Abstract

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.

Keywords

Ensemble of classifiersSupervised learningClassificationBoosting

Copyright information

© Springer Science+Business Media B.V. 2009