As governments around the world tighten migration controls, Spain has taken a strikingly different path. In January 2026, the Spanish cabinet approved a decree opening a pathway to legal residency for ...
Abstract: Hyperparameter estimation is a critical aspect of kernel-based regularization methods (KRMs), alongside kernel design. Empirical Bayes (EB) and Stein's unbiased risk estimator (SURE) are two ...
ABSTRACT: Corporate distress signals are important for both institutions and banks when evaluating firms’ performances. This paper evaluates five different models in predicting the distress for listed ...
Abstract: Given the complexity and uncertainty of the underwater environment, it is of great importance to generate realistic and high-quality images. In this paper, we propose six unconditional ...
In machine learning, algorithms harness the power to unearth hidden insights and predictions from within data. Central to the effectiveness of these algorithms are hyperparameters, which can be ...
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