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Apr, 2019
多实例回归中基于核均值嵌入的逐实例预测
Kernel Mean Embedding of Instance-wise Predictions in Multiple Instance Regression
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Thomas Uriot
TL;DR
本文提出了一种扩展的多实例回归算法(instance-kme-MIR),通过计算预测标签的分布的核平均嵌入,并从这些嵌入中学习回归器到包标签上,从而解决了先前算法单个统计量的限制问题,并在五个现实世界数据集上测试,结果比基线算法(instance-MIR)好。
Abstract
In this paper, we propose an extension to an existing algorithm (instance-MIR) which tackles the
multiple instance regression
(MIR) problem, also known as
distribution regression
. The MIR setting arises when the
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