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Télécharger le livre : Minimum Gamma-Divergence for Regression and Classification Problems
Shinto Eguchi
Minimum Gamma-Divergence for Regression and Classification Problems
This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008. The gamma-divergence has been extensively explored to provide robust estimation when the power index ? is positive. The...
Editeur : Springer
Parution : 2025-03-11
Collection : SpringerBriefs in Statistics
Format(s) : PDF, ePub
47,46 €
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Télécharger le livre : Minimum Divergence Methods in Statistical Machine Learning
Shinto Eguchi , Osamu Komori
Minimum Divergence Methods in Statistical Machine Learning
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,...
Editeur : Springer
Parution : 2022-03-14

Format(s) : PDF, ePub
137,14 €
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Télécharger le livre : Statistical Methods for Imbalanced Data in Ecological and Biological Studies
Shinto Eguchi , Osamu Komori
Statistical Methods for Imbalanced Data in Ecological and Biological Studies
This book presents a fresh, new approach in that it provides a comprehensive recent review of challenging problems caused by imbalanced data in prediction and classification, and also in that it introduces several of the latest statistical methods of dealing with these...
Editeur : Springer
Parution : 2019-07-02
Collection : SpringerBriefs in Statistics
Format(s) : PDF, ePub
52,74 €
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