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Prediction, Learning, and Games
Nicolo Cesa-Bianchi
€ 82.92
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Description for Prediction, Learning, and Games
Hardback. This book provides a general framework for repeated game playing, adaptive data compression, sequential investments, sequential pattern analysis and other problems. Num Pages: 408 pages, 2 tables 200 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 263 x 186 x 28. Weight in Grams: 902. 406 pages, 2 tables 200 exercises. Prediction using expert advice provides a general framework for repeated game playing, adaptive data compression, sequential investments, sequential pattern analysis and other problems. Cateogry: (P) Professional & Vocational. BIC Classification: PBT. Dimension: 263 x 186 x 28. Weight: 902.
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 possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many ... Read more
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 possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many ... Read more
Product Details
Format
Hardback
Publication date
2006
Publisher
Cambridge University Press
Number of pages
406
Condition
New
Number of Pages
408
Place of Publication
Cambridge, United Kingdom
ISBN
9780521841085
SKU
V9780521841085
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About Nicolo Cesa-Bianchi
Nicolò Cesa-Bianchi is Professor of Computer Science at the University of Milan, Italy. His research interests include learning theory, pattern analysis, and worst-case analysis of algorithms. He is the acting editor of The Machine Learning Journal. Gábor Lugosi has been working on various problems in pattern classification, nonparametric statistics, statistical learning theory, game theory, probability, and information theory. He is ... Read more
Reviews for Prediction, Learning, and Games
'This book is a comprehensive treatment of current results on predicting using expert advice.' Mathematical Reviews