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Ensemble Methods

Ensemble Methodsav Zhi-Hua Zhou
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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  • Språk:
  • Engelsk
  • ISBN:
  • 9781032960609
  • Bindende:
  • Hardback
  • Sider:
  • 348
  • Utgitt:
  • 9. mars 2025
  • Utgave:
  • 2
  • Dimensjoner:
  • 242x163x27 mm.
  • Vekt:
  • 700 g.
  På lager
Leveringstid: 4-8 virkedager
Forventet levering: 15. april 2025

Beskrivelse av 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.

Brukervurderinger av Ensemble Methods



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