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Prediction, Learning, and Games by Nicolo Cesa-Bianchi: New

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Last updated on Apr 11, 2025 12:47:39 EDTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Prediction, Learning, and Games
Publication Date
2006-03-13
Pages
408
ISBN
9780521841085

About this product

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
0521841089
ISBN-13
9780521841085
eBay Product ID (ePID)
50572954

Product Key Features

Number of Pages
408 Pages
Publication Name
Prediction, Learning, and Games
Language
English
Subject
Game Theory, Programming / Algorithms, Computer Vision & Pattern Recognition
Publication Year
2006
Type
Textbook
Author
Gabor Lugosi, Nicolo Cesa-Bianchi
Subject Area
Mathematics, Computers
Format
Hardcover

Dimensions

Item Height
1.1 in
Item Weight
30.5 Oz
Item Length
10.2 in
Item Width
7.2 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2005-034788
Dewey Edition
22
Reviews
"Each chapter contains about two dozen inspiring problems, and the book refers to more than 300 up-to-date sources.... The book is addressed to graduate students and researchers in the fields of engineering and information, computer sciences, and data analysis; it presents both theoretical inference and practical hands-on usage of modern prediction techniques." Stan Lipovektsy, GfK Custom Research North America Technometrics, May 2007, "Each chapter contains about two dozen inspiring problems, and the book refers to more than 300 up-to-date sources.... The book is addressed to graduate students and researchers in the fields of engineering and information, computer sciences, and data analysis; it presents both theoretical inference and practical hands-on usage of modern prediction techniques." Stan Lipovektsy, GfK Custom Research North AmericaTechnometrics, 'This book is a comprehensive treatment of current results on predicting using expert advice.' Mathematical Reviews, "This book is a comprehensive treatment of current results on predicting using expert advice." David S. Leslie, Mathematical Reviews
Illustrated
Yes
Dewey Decimal
519.3
Table Of Content
1. Introduction; 2. Prediction with expert advice; 3. Tight bounds for specific losses; 4. Randomized prediction; 5. Efficient forecasters for large classes of experts; 6. Prediction with limited feedback; 7. Prediction and playing games; 8. Absolute loss; 9. Logarithmic loss; 10. Sequential investment; 11. Linear pattern recognition; 12. Linear classification; 13. Appendix.
Synopsis
Prediction using expert advice provides a general framework for repeated game playing, adaptive data compression, sequential investments, sequential pattern analysis and other problems., The central theme here is a model of prediction using expert advice, a general framework within which many related problems can be cast and discussed, including repeated game playing, adaptive data compression, sequential investment in the stock market, and sequential pattern analysis., 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 related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections.
LC Classification Number
QA269 .C45 2006

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    This hardback book is of the highest quality, has a fine appearance , arrived in perfect condition, and is an excellent value. On what I was not asked about this time, communicating with the seller would have required using email outside of the eBay system, because they do not accept eBay messages, the book was well packed in a purpose-designed cardboard box, the shipping was faster than I expected for the bound media rate, and the book was exactly as described and pictured.