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Cover image: Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods 9783030046620

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

  • Author(s) Sarah Vluymans
  • Publisher Published by Springer Copyright © 2019
  • ISBN-13 9783030046620
  • Format Reflowable Layout

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Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods is written by Sarah Vluymans and published by Springer. The Digital and eTextbook ISBNs for Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods are 9783030046637, 303004663X and the print ISBNs are 9783030046620, 3030046621. Save up to 80% versus print by going digital with VitalSource.

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