GMtoolbox |
To quickly learn how to use the toolbox, see
the QuickStart manual
based on a Dynamic Bayesian Network (DBN) and a Coupled Hidden Markov Model (CHMM) problems.
For a detailed description, see the reference manual.
GM generation | |
gm_create_fg | Define a factor graph |
gm_example_Sprinkler | Generate a Bayesian Network toy example |
gmdp_example_Ecology | Generate a toy example related to ecology |
gmdp_example_DBN | Generate a Dynamic Bayesian Network |
gmdp_example_CHMM | Generate a Coupled Hidden Markov Model |
gm_create_fg | Generate a factor graph |
gm_separate_fg | Separate connected sub factor graphs |
GM inference | |
gm_infer_GBP | Generalized Belief Propagation (parent-to-child) |
gm_rg_CVM | Generate a region graph with Cluster Variation Method (CVM) |
gm_rg_BETHE | Generate a region graph with BETHE approximation |
gm_rg_JT | Generate a region graph such that GBP corresponds to Junction Tree (JT) |
gm_include_evidence | Take into account observations |
gm_plot_belief_evolution | Plot the evolution of belief for a range of GBP iteration |
Utilities | |
gm_check_fg | Check the validity of a factor grah |
gm_check_rg | Check the validity of a region graph |
gm_check_rg_JT | Check if a region graph is of the type given by gm_rg_JT function |
gm_plot_fg | Plot a factor grah |
gm_plot_rg | Plot a region grah |
gm_read_fg | Read a factor graph in UAI format |
gm_read_evidence | Read evidences in UAI format |
gm_read_MAR | Read marginals in UAI format |
gm_read_BEL | Read beliefs of regions in UAI format |
gm_write_fg | Write a factor graph in UAI format |
gm_write_evidence | Write evidences in UAI format |
gm_write_MAR | Write marginals in UAI format |
gm_write_BEL | Write beliefs of regions in UAI format |