Algebraic geometry and statistical learning theory. Sumio Watanabe

Algebraic geometry and statistical learning theory



Download Algebraic geometry and statistical learning theory



Algebraic geometry and statistical learning theory Sumio Watanabe ebook pdf
Publisher: CUP
Language: English
Page: 296
ISBN: 0521864674, 9780521864671

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.

Book Description

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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