Algebraic Geometry and Statistical Learning Theory

Released on by Sumio Watanabe
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  • Algebraic Geometry and Statistical Learning Theory Book Detail

  • Author : Sumio Watanabe
  • Release Date : 2009-08-13
  • Publisher : Cambridge University Press
  • Genre : Computers
  • Pages : 295
  • ISBN 13 : 0521864674
  • File Size : 61,61 MB
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Algebraic Geometry and Statistical Learning Theory by Sumio Watanabe PDF Summary

Book Description: Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular: mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free grammars are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.

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