Abstract: This paper introduces an active learning framework for manifold Gaussian Process (GP) regression, combining manifold learning with strategic data selection to improve accuracy in ...

Abstract: This paper proposes an adaptive sampling technique for spherical near-field (SNF) antenna measurements that leverages the predictive uncertainty of Gaussian process regression (GPR) to guide ...