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LAP Lambert Academic Publishing Riemannian Geometry and Statistical Machine Learning

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Description

The book explores connections between Riemannian geometry and several well known machine learning techniques, including boosting and logistic regression. In addition to providing motivation for these techniques, the book provides a mechanism for designing new statistical procedures that are shown experimentally to outperform the state-of-the-art. This work follows up on traditional information geometry with a more applied machine learning perspective.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 January 2015
Listed Since
21 February 2015

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