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Ensemble Methods: Foundations and Algorithms - Chapman & Hall / CRC Machine Learning & Pattern Recognition Zhou, Zhi-Hua, PhD (Nanjing University, China) 2nd edition
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Ensemble Methods: Foundations and Algorithms - Chapman & Hall / CRC Machine Learning & Pattern Recognition
Zhou, Zhi-Hua, PhD (Nanjing University, China)
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.
368 pages, 4 Tables, black and white; 43 Line drawings, color; 27 Line drawings, black and white; 43
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | March 9, 2025 |
| ISBN13 | 9781032960609 |
| Publishers | Taylor & Francis Ltd |
| Pages | 348 |
| Dimensions | 242 × 163 × 27 mm · 702 g |
| Language | English |
