Prediction, Learning, and Games pdf epub mobi txt 電子書 下載2025
- 機器學習
- OnlineLearning
- MachineLearning
- Online_Learning
- Learning_Theory
- GameTheory'
- 搜索引擎
- ML
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.
具體描述
讀後感
評分
評分
評分
評分
用戶評價
Online Learning研究必備。數學多，啃下來不易。
评分老闆給買的第一本書，太難懂瞭。。。
评分Advanced machine learning 推薦閱讀
评分Online Learning研究必備。數學多，啃下來不易。
评分Online Learning研究必備。數學多，啃下來不易。
相關圖書
本站所有內容均為互聯網搜索引擎提供的公開搜索信息，本站不存儲任何數據與內容，任何內容與數據均與本站無關，如有需要請聯繫相關搜索引擎包括但不限於百度，google,bing,sogou 等
© 2025 qciss.net All Rights Reserved. 小哈圖書下載中心 版权所有