Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...
Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
Abstract: Prestack seismic inversion, as a quantitative interpretation method, can integrate multiple information under Bayesian theory framework to obtain the posterior probability density functions ...
Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...
The cover image shows the flow of light with two different wavelengths (1,300 nm and 1,550 nm) through a silicon-chip wavelength demultiplexer. The device has been computationally designed using an ...
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