Algebraic Geometry and Statistical Learning Theory
Hardcover 300 pages English Aug 01, 2009
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Cambridge University Press
Algebraic Geometry and Statistical Learning Theory
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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.
- Author:
- Sumio Watanabe
- Publisher:
- Cambridge University Press
- Publication Date:
- Aug 01, 2009
- Number of pages:
- 300 pages
- Language:
- English
- Binding:
- Hardcover
- ISBN-10:
- 0521864674
- ISBN-13:
- 9780521864671