Algebraic Geometry and Statistical Learning Theory (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25)

Watanabe, Sumio

ISBN 10: 0521864674 / ISBN 13: 9780521864671

Published by Cambridge University Press, 2009

About this Item

hardcover. Text block firm and clean, binding unblemished, boards straight, without highlights or underlining. Fine, like new condition. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.

Seller Inventory # BAY04-00026

Bibliographic Details

• Title: Algebraic Geometry and Statistical Learning Theory (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25)
• Publisher: Cambridge University Press
• Publication Date: 2009
• Language: English
• ISBN 10: 0521864674
• ISBN 13: 9780521864671
• Binding: Hardcover
• Condition: Like New

About this title

Synopsis

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.

About the Author

Sumio Watanabe is a Professor in the Precision and Intelligence Laboratory at the Tokyo Institute of Technology.