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Ben-Gurion University of the Negev
Ensemble methods are considered the state‐of‐the art solution for many machine learning challenges. Such methods improve the predictive performance of a single model by training multiple models and combining their predictions. This paper introduce the concept of ensemble learning, reviews traditional, novel and state‐of‐the‐art ensemble methods and discusses current challenges and trends in the field. This article is categorized under: Algorithmic Development > Ensemble Methods Technologies > Machine Learning Technologies > Classification
Omer Sagi, Lior Rokach (2018). Ensemble learning: A survey. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 8(4), DOI: 10.1002/widm.1249.
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Type
Article
Year
2018
Authors
2
Datasets
0
Total Files
0
Language
English
Journal
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
DOI
10.1002/widm.1249
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