Description

Book Synopsis

1. Introduction.- 2. Framework of gamma-divergence.- 2.1. Scale invariance.- 2.2 GM divergence and HM divergence.- 3. Minimum divergence methods for generalized linear models.- 3.1. Bernoulli logistic model.- 3.2. Poisson log-linear model.- 3.3. Poisson point process model.- 4. Minimum divergence methods in machine leaning.- 4.1. Multi-class AdaBoost.- 4.2. Boltzmann machine.- 5. gamma-divergence for real valued functions.- 6. Discussion.

Minimum GammaDivergence for Regression and

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    A Paperback by Shinto Eguchi

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      Publisher: Springer
      Publication Date: 3/2/2025
      ISBN13: 9789819788798, 978-9819788798
      ISBN10: 981978879X
      Also in:
      Probability and statistics

      Description

      Book Synopsis

      1. Introduction.- 2. Framework of gamma-divergence.- 2.1. Scale invariance.- 2.2 GM divergence and HM divergence.- 3. Minimum divergence methods for generalized linear models.- 3.1. Bernoulli logistic model.- 3.2. Poisson log-linear model.- 3.3. Poisson point process model.- 4. Minimum divergence methods in machine leaning.- 4.1. Multi-class AdaBoost.- 4.2. Boltzmann machine.- 5. gamma-divergence for real valued functions.- 6. Discussion.

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