Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage

23 Apr 2020Xiaowei YueYuchen WenJeffrey H. HuntJianjun Shi

In the machine learning domain, active learning is an iterative data selection algorithm for maximizing information acquisition and improving model performance with limited training samples. It is very useful, especially for the industrial applications where training samples are expensive, time-consuming, or difficult to obtain... (read more)

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