Zhi-Hua, PhDZhou
Ensemble Methods: Foundations and Algorithms
Ensemble Methods: Foundations and Algorithms
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- More about Ensemble Methods: Foundations and Algorithms
Format: Hardback
Length: 348 pages
Publication date: 10 March 2025
Publisher: Taylor & Francis Ltd
Ensemble methods that train multiple learners and then combine them to use, with \textit{Boosting} and \textit{Bagging} as representatives, are well-known machine learning approaches. An ensemble is significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.
Weight: 700g
Dimension: 163 x 242 x 27 (mm)
ISBN-13: 9781032960609
Edition number: 2 ed
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