Algebraic Geometry and Statistical Learning Theory

Algebraic Geometry and Statistical Learning Theory
Author :
Publisher : Cambridge University Press
Total Pages : 295
Release :
ISBN-10 : 9780521864671
ISBN-13 : 0521864674
Rating : 4/5 (674 Downloads)

Book Synopsis Algebraic Geometry and Statistical Learning Theory by : Sumio Watanabe

Download or read book Algebraic Geometry and Statistical Learning Theory written by Sumio Watanabe and published by Cambridge University Press. This book was released on 2009-08-13 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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