Algebraic Geometry and Statistical Learning Theory (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25)
ISBN-13:
9780521864671
ISBN-10:
0521864674
Edition:
1
Author:
Sumio Watanabe
Publication date:
2009
Publisher:
Cambridge University Press
Format:
Hardcover
300 pages
Category:
AI & Machine Learning
,
Computer Science
FREE US shipping
Book details
ISBN-13:
9780521864671
ISBN-10:
0521864674
Edition:
1
Author:
Sumio Watanabe
Publication date:
2009
Publisher:
Cambridge University Press
Format:
Hardcover
300 pages
Category:
AI & Machine Learning
,
Computer Science
Summary
Algebraic Geometry and Statistical Learning Theory (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25) (ISBN-13: 9780521864671 and ISBN-10: 0521864674), written by authors
Sumio Watanabe, was published by Cambridge University Press in 2009.
With an overall rating of 3.6 stars, it's a notable title among other
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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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