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Algebraic Geometry and Statistical Learning Theory

av Sumio (Tokyo Institute of Technology) Watanabe

del av Cambridge Monographs on Applied and Computational Mathematics-serien

Algebraic Geometry and Statistical Learning Theory av Sumio (Tokyo Institute of Technology) Watanabe
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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  • Språk:
  • Engelska
  • ISBN:
  • 9780521864671
  • Format:
  • Inbunden
  • Sidor:
  • 300
  • Utgiven:
  • 13. augusti 2009
  • Mått:
  • 159x237x21 mm.
  • Vikt:
  • 590 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 6. december 2024

Om Sumio (Tokyo Institute of Technology) Watanabe

Se alla böcker av Sumio (Tokyo Institute of Technology) Watanabe

Beskrivning av 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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