Although historically classified into discrete subclasses, there is growing evidence that indicates that core-collapse supernovae (CCSNe) categories often overlap, reflecting continuous variations in ...

Bayesian regression with linear basis function models. Introduction to Bayesian linear regression. Implementation with plain NumPy and scikit-learn. See also PyMC3 implementation. Gaussian processes.

Institute of Physical and Theoretical Chemistry, TU Braunschweig, Braunschweig 38106, Germany Institute of Physical Chemistry, University of Göttingen, Göttingen 37077, Germany ...

Institute of Technology, Resource and Energy-Efficient Engineering (TREE), University of Applied Sciences Bonn-Rhein-Sieg, 53757 Sankt Augustin, Germany Department of Electrical Engineering, ...

Simulation-based optimization models are widely applied to find optimal operating conditions of processes. Often, computational challenges arise from model complexity, making the generation of ...

MuyGPyS is a general-purpose Gaussian process library, similar to GPy, GPyTorch, or GPflow. MuyGPyS differs from the other options in that it constructs approximate GP models using nearest neighbors ...