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stat.ML2020★ 2 cited
Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage
Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt +1
In the machine learning domain, active learning is an iterative data selection algorithm for maximizing information acquisition and improving model performance with limited trainin…
stat.ML2019
AKMD : An Adaptive Framework for Online Sensing and Anomaly Quantification
Hao Yan, Kamran Paynabar, Jianjun Shi
In point-based sensing systems such as coordinate measuring machines (CMM) and laser ultrasonics where complete sensing is impractical due to the high sensing time and cost, adapti…
stat.ML2018
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
Chen Zhang, Hao Yan, Seungho Lee +1
Multivariate functional data from a complex system are naturally high-dimensional and have complex cross-correlation structure. The complexity of data structure can be observed as…