BriefGPT.xyz
Jan, 2013
基于配对损失函数的在线学习
Online Learning with Pairwise Loss Functions
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Yuyang Wang, Roni Khardon, Dmitry Pechyony, Rosie Jones
TL;DR
本文研究了在线学习算法中带有成对损失函数的泛化性能,并提出了一种数据依赖性较小的界限来衡量在线学习算法的平均风险产生的序列的模型偏差,同时针对常见的机器学习问题,如基于排名和监督度量学习提出了实际应用案例。
Abstract
Efficient
online learning
with
pairwise loss functions
is a crucial component in building large-scale learning system that maximizes the area under the Receiver Operator Characteristic (ROC) curve. In this paper
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