Lior Rokach

Senior Academic

Ensemble-based classifiers

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.

Publication language English
Pages 1-39
Journal Artificial Intelligence Review
Volume 33
Issue number 1-2
Publication status Published - 01.02.2010

Keywords

Boosting
Classification
Ensemble of classifiers
Supervised learning

ASJC Scopus subject areas

Language and Linguistics
Linguistics and Language
Artificial Intelligence
Access to Document
10.1007/s10462-009-9124-7
Other files and links
Link to publication in Scopus