Algebraic Geometry and Statistical Learning Theory [Repost]
ISBN: 0521864674
Category: Technical
Tag: Programming
Posted on 2012-04-10. By anonymous.
Description
Sumio Watanabe - Algebraic Geometry and Statistical Learning Theory
Publisher: Cаmbridge Univеrsity Prеss | 2009-09-28 | ISBN: 0521864674 | PDF | 300 pages | 1.71 MB
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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