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Ensemble Methods

Foundations and Algorithms

By: Zhi-Hua Zhou

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Hardcover | 9 March 2025 | Edition Number 2

At a Glance

Hardcover
364 Pages

Dimensions(cm)
23.39 x 15.6 x 2.06

Hardcover

RRP $137.00

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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.

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