Prediction, Learning

Author: Nicolo Cesa-Bianchi
Edition:
Binding: Kindle Edition
ISBN: B000U5M2AQ
Category: Game Programming

Prediction, Learning, and Games

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. Download Prediction, Learning game programming books for free. 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.

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