Prediction, Learning, and Games

Prediction, Learning, and Games pdf epub mobi txt 电子书 下载 2025

出版者:Cambridge University Press
作者:Nicolo Cesa-Bianchi
出品人:
页数:408
译者:
出版时间:2006-3-13
价格:GBP 57.00
装帧:Hardcover
isbn号码:9780521841085
丛书系列:
图书标签:
  • 机器学习 
  • OnlineLearning 
  • MachineLearning 
  • Online_Learning 
  • Learning_Theory 
  • GameTheory' 
  • 搜索引擎 
  • ML 
  •  
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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 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.

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现在上课学习都得被强制看全英文书,我是真的累

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Online Learning研究必备。数学多,啃下来不易。

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现在上课学习都得被强制看全英文书,我是真的累

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