BriefGPT.xyz
Feb, 2020
多输出预测的乐观界限
Optimistic bounds for multi-output prediction
HTML
PDF
Henry WJ Reeve, Ata Kaban
TL;DR
研究多输出学习的挑战以及为了在监督数据集上学习矢量值函数所需的自限制利普希茨条件,证明该条件可以产生多输出学习的乐观界限,并给出其在多类梯度提升方面的应用及其最优性。
Abstract
We investigate the challenge of
multi-output learning
, where the goal is to learn a
vector-valued function
based on a supervised data set. This includes a range of important problems in Machine Learning including
→