Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Linux lacks native versions of industry-grade creative tools like Adobe Photoshop and Illustrator, and while open-source options are capable, not everyone is willing to relearn and adapt to different ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.