A set of plug-ins for MuseScore Studio 4.6 that assists in the creation of beautiful, player-friendly scores by providing over 160 different checks for common notation and layout issues, and providing ...

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

Besides its core functionality to perform a typical recommend-measure loop, BayBE offers a range of built‑in features crucial for real-world use cases. The following provides a non-comprehensive ...

Abstract: The optimality of Bayesian filtering relies on the completeness of prior models, while deep learning holds a distinct advantage in learning models from offline data. Nevertheless, the ...