Algebraic Geometry and Statistical Learning Theory - Cambridge Monographs on Applied and Computational Mathematics - Watanabe, Sumio (Tokyo Institute of Technology) - Books - Cambridge University Press - 9780521864671 - August 13, 2009
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Watanabe, Sumio (Tokyo Institute of Technology)
Algebraic Geometry and Statistical Learning Theory - Cambridge Monographs on Applied and Computational Mathematics

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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.

300 pages, 13 b/w illus.

Media Books     Hardcover Book   (Book with hard spine and cover)
Released August 13, 2009
ISBN13 9780521864671
Publishers Cambridge University Press
Pages 300
Dimensions 159 × 237 × 21 mm   ·   637 g
Language English  

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