Prediction, Learning, and Games

by Nicolo Cesa-Bianchi and Gábor Lugosi

This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all...

• Format: Hardcover
• Language: English
• ISBN: 0521841089
• ISBN13: 9780521841085
• Release Date: March 2006
• Publisher: Cambridge University Press
• Length: 408 Pages
• Weight: 2.10 lbs.
• Dimensions: 1.1" x 7.2" x 10.2"