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Vocabulary of natural language processing

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Concept information

NLP methods and tools > NLP algorithm > classification algorithm > boosting

Terme préférentiel

boosting  

Définition

  • 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)

Concept générique

Concepts spécifiques

Exemple

  • 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)

Traductions

URI

http://data.loterre.fr/ark:/67375/8LP-Z7SKLBHW-S

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