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Algebraic Geometry and Statistical Learning Theory - by Sumio Watanabe (Hardcover)

Algebraic Geometry and Statistical Learning Theory - by  Sumio Watanabe (Hardcover) - image 1 of 1
Algebraic Geometry and Statistical Learning Theory - by  Sumio Watanabe (Hardcover) - image 1 of 1
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About this item

Specifications

Number of Pages: 286

Genre: Computers + Internet

Sub-Genre: Computer Vision & Pattern Recognition

Series Title: Cambridge Monographs on Applied and Computational Mathematics (Hardcover)

Format: Hardcover

Publisher: Cambridge University Press

Author: Sumio Watanabe

Language: English

Street Date: August 1, 2009
TCIN: 77781433
UPC: 9780521864671
Item Number (DPCI): 247-09-0457

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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