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Prediction, learning, and games /
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.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press,
2006.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Cesa-Bianchi, Nicolò, |d 1963- | |
| 245 | 1 | 0 | |a Prediction, learning, and games / |c Nicolò Cesa-Bianchi, Gábor Lugosi. |
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2006. | ||
| 300 | |a 1 online resource (xii, 394 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 504 | |a Includes bibliographical references (pages 373-386) and indexes. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; 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; Appendix; References; Author Index; Subject Index. | |
| 520 | |a 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. | ||
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| 650 | 0 | |a Game theory. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 2 | |a Game Theory | |
| 650 | 2 | |a Algorithms | |
| 650 | 2 | |a Machine Learning | |
| 650 | 6 | |a Théorie des jeux. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a MATHEMATICS |x Game Theory. |2 bisacsh | |
| 650 | 7 | |a Computer algorithms |2 fast | |
| 650 | 7 | |a Game theory |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Spieltheorie |2 gnd | |
| 650 | 7 | |a Maschinelles Lernen |2 gnd | |
| 650 | 7 | |a Algorithmus |2 gnd | |
| 700 | 1 | |a Lugosi, Gábor. | |
| 776 | 0 | 8 | |i Print version: |a Cesa-Bianchi, Nicolò, 1963- |t Prediction, learning, and games. |d Cambridge ; New York : Cambridge University Press, 2006 |z 0521841089 |w (DLC) 2005034788 |w (OCoLC)62493289 |
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