Minimum divergence methods in statistical machine learning : from an information geometric viewpoint / Shinto Eguchi, Osamu Komori.
This book explores minimum divergence methods of statistical machine learning for estimation, regression, prediction, and so forth, in which we engage in information geometry to elucidate their intrinsic properties of the corresponding loss functions, learning algorithms, and statistical models. One...
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