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    Algebraic Geometry and Statistical Learning Theory

    Posted By: Free butterfly
    Date: 10 Apr 2020 20:20:08
    Algebraic Geometry and Statistical Learning Theory

    Algebraic Geometry and Statistical Learning Theory by Sumio Watanabe
    English | September 28, 2009 | ISBN: 0521864674 | 300 pages | PDF | 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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