Algebraic Geometry and Statistical Learning Theory
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.
1100957734
Algebraic Geometry and Statistical Learning Theory
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.
106.0
In Stock
5
1
Algebraic Geometry and Statistical Learning Theory
300
Algebraic Geometry and Statistical Learning Theory
300Hardcover(New Edition)
$106.00
106.0
In Stock
Product Details
| ISBN-13: | 9780521864671 |
|---|---|
| Publisher: | Cambridge University Press |
| Publication date: | 08/13/2009 |
| Series: | Cambridge Monographs on Applied and Computational Mathematics , #25 |
| Edition description: | New Edition |
| Pages: | 300 |
| Product dimensions: | 6.20(w) x 9.00(h) x 0.80(d) |
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