BriefGPT.xyz
Oct, 2018
基于比较的学习的提升算法
Boosting for Comparison-Based Learning
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Michaël Perrot, Ulrike von Luxburg
TL;DR
本文提出了 TripletBoost, 一种在比较基础上学习分类器的方法,可适用于任何度量空间数据并仅使用被动获得和带噪声的三组信息处理大规模问题,同时具备良好的理论推广性能和抗噪能力。
Abstract
We consider the problem of
classification
in a
comparison-based setting
: given a set of objects, we only have access to triplet comparisons of the form "object $x_i$ is closer to object $x_j$ than to object $x_k$
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