Ensemble Classifiers and Their Applications: A Review
This is an incremental review paper summarizing existing ensemble methods and their applications for researchers in machine learning.
The paper reviews ensemble classifiers, which are groups of individual classifiers trained cooperatively for supervised classification problems, and discusses their applications, including specific application-driven approaches.
Ensemble classifier refers to a group of individual classifiers that are cooperatively trained on data set in a supervised classification problem. In this paper we present a review of commonly used ensemble classifiers in the literature. Some ensemble classifiers are also developed targeting specific applications. We also present some application driven ensemble classifiers in this paper.