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Prediction, Learning, and Games

Engels | Druk: New title | Hardcover | 9780521841085 | 408 pagina's

Nicolo Cesa-Bianchi, Gabor Lugosi - 9780521841085


Engels | Druk: New title | Hardcover | 9780521841085 | 408 pagina's

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.


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Prediction, Learning, and Games Engels | Druk: New title | Hardcover | 9780521841085 | 408 pagina's
DrukNew title
Verschijningsdatummaart 2006
AfmetingenAfmeting: 25,4 x 17,8 x 2,5 cm
Aantal pagina's408 pagina's
Auteur(s)Nicolo Cesa-Bianchi | Gabor Lugosi | Gabor Lugosi
UitgeverCambridge University Press
Originele TitelPrediction, Learning, and Games:
Extra groot lettertypeNee
Gewicht860 g
Verpakking breedte183 mm
Verpakking hoogte28 mm
Verpakking lengte259 mm

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