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Spectral Learning on Matrices and Tensors

af Majid Janzamin

indgår i Foundations and Trends (R) in Machine Learning serien

Spectral Learning on Matrices and Tensors af Majid Janzamin
Bag om Spectral Learning on Matrices and Tensors

Surveys recent progress in using spectral methods, including matrix and tensor decomposition techniques, to learn many popular latent variable models. The focus is on a special type of tensor decomposition called CP decomposition. The authors cover a wide range of algorithms to find the components of such tensor decomposition.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781680836400
  • Indbinding:
  • Paperback
  • Sideantal:
  • 156
  • Udgivet:
  • 28. november 2019
  • Størrelse:
  • 235x154x13 mm.
  • Vægt:
  • 260 g.
  • 8-11 hverdage.
  • 6. december 2024

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Surveys recent progress in using spectral methods, including matrix and tensor decomposition techniques, to learn many popular latent variable models. The focus is on a special type of tensor decomposition called CP decomposition. The authors cover a wide range of algorithms to find the components of such tensor decomposition.

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