Data & IT
Algebraic Geometry and Statistical Learning Theory
Sumio Watanabe • Sumio Watanabe
Inbunden
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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.
- Format: Inbunden
- ISBN: 9780521864671
- Språk: Engelska
- Antal sidor: 300
- Utgivningsdatum: 2009-08-13
- Förlag: Cambridge University Press