DISCLAIMER: This project has nothing to do with the original authors. DO NOT contact them about issues with this port, they will have no idea what you are even talking about. I do not claim any part ...

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

A tool that converts scanned book PDFs into high-quality documents comparable to digital books, using AI image processing and advanced image processing techniques. For more details, see the original ...

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.