Contenu
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.
Informations bibliographiques
février 2025, env. 368 Pages, Chapman & Hall/CRC Machine Learning & Pattern Recognition, Anglais
Taylor and Francis
978-1-032-96060-9