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Ensemble Methods

Ensemble Methodsaf Zhi-Hua Zhou
Bag om Ensemble Methods

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781032960609
  • Indbinding:
  • Hardback
  • Sideantal:
  • 363
  • Udgivet:
  • 10. marts 2025
  • Udgave:
  • 2
  • Størrelse:
  • 156x234x0 mm.
  • Kan forudbestilles.
  • 10. marts 2025
Forlænget returret til d. 31. januar 2025
  • Bogen kan først forudbestilles 2 måneder før udgivelsesdatoen

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Beskrivelse af Ensemble Methods

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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