Boosting: Foundations and Algorithms 豆 9.2分

资源最后更新于 2020-09-27 15:06:30

作者：Robert E. Schapire

出版社：The MIT Press

出版日期：2012-01

ISBN：9780262017183

文件格式： pdf

标签： 机器学习 boosting MachineLearning 统计学习 模式识别 计算机 泛化误差 数据挖掘

简介· · · · · ·

Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical...