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Ensemble Methods: Foundations and Algorithms - Chapman & Hall / CRC Machine Learning & Pattern Recognition Zhou, Zhi-Hua, PhD (Nanjing University, China) 2. izdevums
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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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2025. gada 9. marts |
| ISBN13 | 9781032960609 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 348 |
| Izmēri | 242 × 163 × 27 mm · 702 g |
| Valoda | Angļu |
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