Mohlo by se vám také líbit

Více informací o knize Prediction, Learning, and Games

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 232 bodů

Anotace knihy

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 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. Old and new forecasting methods are described in a mathematically precise way in order to characterize their theoretical limitations and possibilities.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: Prediction, Learning, and Games
• Autor: Nicolo Cesa-Bianchi
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 408
• EAN: 9780521841085
• ISBN: 0521841089
• ID: 04095566
• Nakladatelství: Cambridge University Press
• Hmotnost: 938 g
• Rozměry: 263 × 186 × 28 mm
• Datum vydání: 13. March 2006

Oblíbené z jiného soudku

---

---

---