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Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods

Bag om Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods

This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030046620
  • Indbinding:
  • Hardback
  • Sideantal:
  • 249
  • Udgivet:
  • 5. december 2018
  • Udgave:
  • 12019
  • Vægt:
  • 571 g.
  • BLACK NOVEMBER
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Leveringstid: 8-11 hverdage
Forventet levering: 7. december 2024

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This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data.

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