Minimum Divergence Methods in Statistical Machine Learning

Shinto Eguchi () and Osamu Komori ()
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Shinto Eguchi: Institute of Statistical Mathematic
Osamu Komori: Seikei University

in Springer Books from Springer

Date: 2022
ISBN: 978-4-431-56922-0
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Chapters in this book:

Ch Chapter 1 Information Geometry

Shinto Eguchi and Osamu Komori

Ch Chapter 2 Information Divergence

Shinto Eguchi and Osamu Komori

Ch Chapter 3 Maximum Entropy Model

Shinto Eguchi and Osamu Komori

Ch Chapter 4 Minimum Divergence Method

Shinto Eguchi and Osamu Komori

Ch Chapter 5 Unsupervised Learning Algorithms

Shinto Eguchi and Osamu Komori

Ch Chapter 6 Regression Model

Shinto Eguchi and Osamu Komori

Ch Chapter 7 Classification

Shinto Eguchi and Osamu Komori

Ch Chapter 8 Outcome Weighted Learning in Dynamic Treatment Regimes

Shinto Eguchi and Osamu Komori

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DOI: 10.1007/978-4-431-56922-0

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