Zhi-Hua Zhou
Ensemble Methods
Auteur(s) : Zhi-Hua Zhou
Date de publication : 10-03-2025
Edition : Chapman and Hall/CRC
Type : Relie
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.
An ensemble is significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.
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