BriefGPT.xyz
Oct, 2023
AdaBoost综述：和解视角以更好地理解其动态
Overview of AdaBoost : Reconciling its views to better understand its dynamics
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Perceval Beja-Battais
TL;DR
通过整合多个弱学习器以构建强学习器，本论文综合了多个视角对AdaBoost算法的动态性进行探究，并将它们以相同的形式统一起来，旨在帮助非专业读者更好地理解AdaBoost的动态和各种视角之间的等价性和关联性。
Abstract
boosting methods
have been introduced in the late 1980's. They were born following the theoritical aspect of PAC learning. The main idea of
boosting methods
is to combine
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