Ensemble methods: foundations and algorithms
Auteur :
Zhou, Zhi-Hua
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032960609
Date de publication :
9 mars 2025
Dimensions :
23,4 x 15,6 cm
Poids :
830 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.