BriefGPT.xyz
Aug, 2011
多类别Boosting理论
A theory of multiclass boosting
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Indraneel Mukherjee, Robert E. Schapire
TL;DR
本文提出了一种广泛且通用的框架,通过精确分析和确定弱分类器的最优需求,以及设计最有效的某种算法来应对多类别分类中存在的问题。
Abstract
boosting
combines
weak classifiers
to form highly accurate predictors. Although the case of binary classification is well understood, in the multiclass setting, the "correct" requirements on the weak classifier,
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