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Algebraic Geometry and Statistical Learning Theory

af Sumio (Tokyo Institute of Technology) Watanabe

indgår i Cambridge Monographs on Applied and Computational Mathematics serien

Algebraic Geometry and Statistical Learning Theory af Sumio (Tokyo Institute of Technology) Watanabe
Bag om Algebraic Geometry and Statistical Learning Theory

Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models are singular: mixture models, neural networks, HMMs, and Bayesian networks are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780521864671
  • Indbinding:
  • Hardback
  • Sideantal:
  • 300
  • Udgivet:
  • 13. august 2009
  • Størrelse:
  • 159x237x21 mm.
  • Vægt:
  • 594 g.
  • 8-11 hverdage.
  • 18. december 2024
På lager
Forlænget returret til d. 31. januar 2025

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Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models are singular: mixture models, neural networks, HMMs, and Bayesian networks are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.

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