Concept information
Preferred term
boosting
Definition
- An ensemble meta-algorithm for primarily reducing bias and also variance in supervised learning and a family of machine learning algorithms that convert weak learners to strong ones. (Wikipedia)
Broader concept
Example
- Boosting is a machine learning (ML) method that has been well studied in the ML community (Freund 1995; Freund and Schapire 1997; Collins et al. (Xiao, Zhu, Zhu & Wang, 2010)
- Empirical results for boosting have shown that in practice the method is highly effective. (Walker, Rambow & Rogati, 2001)
In other languages
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French
URI
http://data.loterre.fr/ark:/67375/8LP-Z7SKLBHW-S
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