Riemannian Geometry and Statistical Machine Learning

By Lebanon Guy

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.

• Format: Paperback
• Language: English
• ISBN: 3659682020
• ISBN13: 9783659682025
• Release Date: January 2015
• Publisher: LAP Lambert Academic Publishing
• Length: 140 Pages
• Weight: 0.47 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"