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Ensemble Methods

Ensemble Methods

Foundations and Algorithms

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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.

Informations bibliographiques

mars 2025, 348 pages, Chapman & Hall/CRC Machine Learning & Pattern Recognition, Anglais
Taylor and Francis
978-1-032-96060-9

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