Algorithmic Learning in a Random World

by Glenn Shafer, Alex Gammerman, Vladimir Vovk, et al.

Book Overview

This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature of conformal prediction is the principled treatment of the reliability of predictions. The prediction algorithms described - conformal predictors - are provably valid in the sense that they evaluate the reliability of their own predictions in a way that is neither over-pessimistic nor over-optimistic (the latter...

• Format: Paperback
• Language: English
• ISBN: 3031066510
• ISBN13: 9783031066511
• Release Date: December 2023
• Publisher: Springer
• Length: 476 Pages
• Weight: 1.54 lbs.
• Dimensions: 1.0" x 6.1" x 9.2"