This paper proposes a novel approach combining prior physics-based Gaussian Process Regression (GPR) with Bayesian Optimization for efficient and accurate electromagnetic near-field scanning. By ...
Abstract: Gaussian processes (GPs) have attracted significant interest for macromodeling frequency-domain responses of linear time-invariant (LTI) systems. Yet, a unified and practical approach to ...
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