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Ensemble Methods|Zhi-Hua Zhou

Ensemble Methods : Foundations and Algorithms

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Overview

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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Details

  • ISBN-13: 9781032960609
  • ISBN-10: 1032960604
  • Publisher: CRC Press
  • Publish Date: March 2025
  • Dimensions: 9.21 x 6.14 x 0.81 inches
  • Shipping Weight: 1.51 pounds
  • Page Count: 348

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