The quantification of molecular similarity has been present since the beginning of cheminformatics. Although several similarity indices and molecular representations have been reported, all of them ...
Today the OpenMP® Architecture Review Board (ARB) announces the formation of an OpenMP Python Language Subcommittee to add Python support to version 7.0 of the OpenMP API specification. At the same ...
BEAVERTON, Ore., February 05, 2026--(BUSINESS WIRE)--Today the OpenMP® Architecture Review Board (ARB) announces the formation of an OpenMP Python Language Subcommittee to add Python support to ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Please see the repository license for the licensing and usage information for datacleaner. Generally, we have licensed the MarkovNetwork package to make it as widely usable as possible. MarkovNetwork ...
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.