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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.
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