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Algorithmic Learning in a Random World

Algorithmic Learning in a Random World

Hardcover

ApplicationsGeneral ComputersProgramming

ISBN10: 3031066480
ISBN13: 9783031066481
Publisher: Springer
Published: Dec 14 2022
Pages: 476
Weight: 1.93
Height: 1.06 Width: 6.14 Depth: 9.21
Language: English

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 being especially dangerous). The approach is still flexible enough to incorporate most of the existing powerful methods of machine learning. The book covers both key conformal predictors and the mathematical analysis of their properties.

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Vovk, Vladimir

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General Computers