Algebraic Geometry and Statistical Learning Theory (Cambridge Monographs on Applied and Computational Mathematic #25) (Hardcover)

Algebraic Geometry and Statistical Learning Theory (Cambridge Monographs on Applied and Computational Mathematic #25) By Sumio Watanabe Cover Image
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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.
Product Details
ISBN: 9780521864671
ISBN-10: 0521864674
Publisher: Cambridge University Press
Publication Date: August 13th, 2009
Pages: 298
Language: English
Series: Cambridge Monographs on Applied and Computational Mathematic