This important new text and reference for researchers and students in machine learning, game theory, statistics and information theory offers the first comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of indi
Prediction, Learning and Games
β Scribed by Cesa-Bianchi N., Lugosi G.
- Publisher
- CUP
- Year
- 2006
- Tongue
- English
- Leaves
- 407
- Category
- Library
No coin nor oath required. For personal study only.
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This important new text and reference for researchers and students in machine learning, game theory, statistics and information theory offers the first comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of indi
This important new text and reference for researchers and students in machine learning, game theory, statistics and information theory offers the first comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of indi