1.5k citations · 2.4k across the 5 of their papers we have counts for
1 paper · 1 filter
Arnaud Doucet, Nando de Freitas, Kevin Murphy +1
Particle filters (PFs) are powerful sampling-based inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob…