Ensemble-based classifiers

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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.

Original languageEnglish
Pages (from-to)1-39
Number of pages39
JournalArtificial Intelligence Review
Issue number1-2
StatePublished - 1 Feb 2010


  • Boosting
  • Classification
  • Ensemble of classifiers
  • Supervised learning


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