Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Welcome to the GitHub repository for Network Analysis Made Simple! This is a tutorial designed to teach you the basic and practical aspects of graph theory. It has been presented at multiple ...
Abstract: The magnetic-field modulated brushless double-rotor permanent-magnet machine presents a promising electrification solution, potentially replacing traditional mechanical transmissions such as ...
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