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Algebraic Geometry and Statistical Learning Theory Hardback (Cambridge Monographs on Applied and Computational Mathematics) (in English)
Sumio Watanabe
(Author)
·
Cambridge University Press
· Hardcover
Algebraic Geometry and Statistical Learning Theory Hardback (Cambridge Monographs on Applied and Computational Mathematics) (in English) - Watanabe, Sumio
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Synopsis "Algebraic Geometry and Statistical Learning Theory Hardback (Cambridge Monographs on Applied and Computational Mathematics) (in English)"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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