Пакет bfl: Информация

The Bayesian Filtering Library (BFL) provides an application independent
framework for inference in Dynamic Bayesian Networks, i.e., recursive
information processing and estimation algorithms based on Bayes' rule, such as
(Extended) Kalman Filters, Particle Filters (or Sequential Monte Carlo
methods), etc. These algorithms can, for example, be run on top of the Realtime
Services, or be used for estimation in Kinematics & Dynamics applications.