(PDF/ePub) Ensemble Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition) - Zhi-Hua Zh

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Description

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 realworld tasks.

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