Information Divergence Geometry and the Application to Statistical Machine Learning

DOI10.1007/978-0-387-84816-7_13zbMath1183.68473OpenAlexW115716804MaRDI QIDQ3613572

Shinto Eguchi

Publication date: 12 March 2009

Published in: Information Theory and Statistical Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-0-387-84816-7_13

zbMATH Keywords

Riemannian metricinformation metric

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (3)

Density estimation with minimization of \(U\)-divergence ⋮ Proper local scoring rules ⋮ A Note on Divergences

This page was built for publication: Information Divergence Geometry and the Application to Statistical Machine Learning