Ensemble Methods: Foundations and Algorithms - Zhi-Hua Zhou
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Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
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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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Zhi-Hua Zhou |
|---|---|
| Julkaisija | Taylor & Francis Ltd |
| Julkaisuvuosi | 2025 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9781032960609 |