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Minimum divergence methods in statistical machine learning : From an information geometric viewpoint / Shinto Eguchi and Osamu Komori

By:

Eguchi, Shinto

Contributor(s):

Komori, Osamu

Publication details: Tokyo Springer-Verlag 2022Description: x, 221pISBN:

9784431569206

Subject(s):

DDC classification:

006.31 EGU 20

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Item type	Current library	Call number	Status	Barcode
Books	IGIDR	006.31 EGU (Browse shelf(Opens below))	Available	47940

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Previous	006.31 CER Fundamentals of supervised machine learning : With applications in Python, R and Stata /	006.31 CHA Introduction to deep learning /	006.31 DON Automated deep learning : Neural architecture search is not the end /	006.31 EGU Minimum divergence methods in statistical machine learning : From an information geometric viewpoint /	006.31 FER Deep learning patterns and practices /	006.31 FRI The Little learner : A Straight line to deep learning /	006.31 GHA Deep learning with R /	Next

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