Prediction, Learning, and Games by Gabor Lugosi and Nicolo Cesa-Bianchi...
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Prediction, Learning, and Games by Gabor Lugosi and Nicolo Cesa-Bianchi..
US $49.99
ApproximatelyRM 211.24
Condition:
Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
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US $8.22 (approx RM 34.74) USPS Media MailTM.
Located in: Dearborn Heights, Michigan, United States
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Estimated between Mon, 8 Sep and Sat, 13 Sep to 94104
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eBay item number:204828360857
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- 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
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
Item description from the seller
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