Ensemble Methods: Foundations and Algorithms

By Zhi-Hua Zhou

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.

• Format: Hardcover
• Language: English
• ISBN: 1032960604
• ISBN13: 9781032960609
• Release Date: March 2025
• Publisher: CRC Press
• Length: 348 Pages
• Weight: 1.51 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"