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 ...
This announcement contains inside information as defined in the UK version of the Market Abuse Regulation (EU) No.596/2014, ...
This announcement contains inside information as defined in the UK version of the Market Abuse Regulation (EU) No.596/2014, which is part of UK domestic law by virtue of the European Union (Withdrawal ...
PolarGrad (Polar Gradient methods; Lau et al., 2025) is a class of matrix-gradient optimizers based on the concept of gradient-anisotropy preconditioning in optimization. It has close relation to Muon ...
Abstract: Full waveform inversion (FWI) can produce high-resolution subsurface parameter models. However, due to its limitations in data acquisition, the observed data often lacks low-frequency ...
The basis of natural sciences is the modelling of phenomena and solving the resulting models. The Master’s Programme in Theoretical and Computational Methods will give you a strong basis in the ...
Numerical-Methods-Project/ │ ├── README.md │ ├── 01_Solution_of_Linear_Equations/ │ │ │ ├── Gauss_Elimination/ │ │ ├── theory.md ...
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