Algebraic Geometry and Statistical Learning Theory
Author | : Sumio Watanabe |
Publisher | : Cambridge University Press |
Total Pages | : 295 |
Release | : 2009-08-13 |
ISBN-10 | : 9780521864671 |
ISBN-13 | : 0521864674 |
Rating | : 4/5 (674 Downloads) |
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.