Algebraic Geometry and Statistical Learning Theory
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Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models are singular: mixture models, neural networks, HMMs, and Bayesian networks are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.
Информация за "Algebraic Geometry and Statistical Learning Theory"
- SKU 9780521864671
- Weight 0.604000
- ISBN 9780521864671
- Вид корица Hardback
- Издателство Cambridge University Press
- Брой страници 300
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