A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more base models. This paper presents a concise overview of ensemble learning, covering the three main ensemble methods: bagging, boosting, and st...

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Bibliographic Details
Main Authors: Ibomoiye Domor Mienye, Yanxia Sun
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Algorithms
classification
ensemble learning
fraud detection
machine learning
medical diagnosis
Online Access:https://ieeexplore.ieee.org/document/9893798/

Internet

https://ieeexplore.ieee.org/document/9893798/

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