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Kernel Mean Embedding of Distributions

- A Review and Beyond

Bag om Kernel Mean Embedding of Distributions

This monograph provides a comprehensive review of kernel mean embeddings of distributions and, in the course of doing so, discusses some challenging issues that could potentially lead to new research directions. The targeted audience includes graduate students and researchers in machine learning and statistics who are interested in the theory and applications of kernel mean embeddings.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781680832884
  • Indbinding:
  • Paperback
  • Sideantal:
  • 154
  • Udgivet:
  • 28. juni 2017
  • Størrelse:
  • 234x158x12 mm.
  • Vægt:
  • 258 g.
  • 8-11 hverdage.
  • 7. december 2024

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This monograph provides a comprehensive review of kernel mean embeddings of distributions and, in the course of doing so, discusses some challenging issues that could potentially lead to new research directions. The targeted audience includes graduate students and researchers in machine learning and statistics who are interested in the theory and applications of kernel mean embeddings.

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