Bemærk: Kan leveres før jul.
Forventes på lager: 09-03-2025
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.
| Forlag | Taylor & Francis Ltd |
| Forfatter | Zhi-Hua Zhou |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgave | 2 ed |
| Udgivelsesdato | 09-03-2025 |
| Første udgivelsesår | 2025 |
| Serie | Chapman & Hall/CRC Machine Learning & Pattern Recognition |
| Illustrationer | 4 Tables, black and white; 43 Line drawings, color; 27 Line drawings, black and white; 43 Illustrations, color; 27 Illustrations, black and white |
| Originalsprog | United Kingdom |
| Sideantal | 348 |
| Indbinding | Hardback |
| Forlag | Taylor & Francis Ltd |
| Sideoplysninger | 348 pages, 4 Tables, black and white; 43 Line drawings, color; 27 Line drawings, black and white; 43 |
| Mål | 163 x 242 x 27 |
| ISBN-13 / EAN-13 | 9781032960609 |