Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Researchers explored the decision-making process of Gaussian process (GP) models, focusing on loss landscapes and hyperparameter optimization. They emphasized the importance of the Matérn kernel ...

Degradation models are widely used to assess the lifetime information of highly reliable products. This study proposes a degradation model based on an inverse normal-gamma mixture of an inverse ...

Brown-Resnick processes are max-stable processes that are associated to Gaussian processes. Their simulation is often based on the corresponding spectral representation which is not unique. We study ...