Ensemble-based classifiers

Research output: Contribution to journalArticlepeer-review

1601 Scopus citations

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.

Original languageEnglish
Pages (from-to)1-39
Number of pages39
JournalArtificial Intelligence Review
Volume33
Issue number1-2
DOIs
StatePublished - 1 Feb 2010

Keywords

  • Boosting
  • Classification
  • Ensemble of classifiers
  • Supervised learning

Fingerprint

Dive into the research topics of 'Ensemble-based classifiers'. Together they form a unique fingerprint.

Cite this