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About this item
Number of Pages: 286
Genre: Computers + Internet
Sub-Genre: Computer Vision & Pattern Recognition
Series Title: Cambridge Monographs on Applied and Computational Mathematics (Hardcover)
Publisher: Cambridge University Press
Author: Sumio Watanabe
Street Date: August 1, 2009
Item Number (DPCI): 247-09-0457
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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