Provides inference functionality in a cluster graph.
Loopy BP calibration and inference in a cluster graph, presented in 'Daphne Koller, Nir Friedman.
Specifies order of clusters in which messages are sent for a single iteration of Belief Propagation.
Loopy BP calibration and inference in a cluster graph, presented in 'Daphne Koller, Nir Friedman. Probabilistic Graphical Models, Principles and Techniques, 2009' book.
Maximum absolute difference between old and new corresponding messages in a cluster graph, before calibration is completed