Genius supports a wide variety of modeling scenarios. The following flowchart may be used to determine if your modeling problem of interest is suitable for Genius.
Flowchart to determine whether your modeling problem is supported by Genius. Currently supported model types depicted in purple.
The flowchart indicates that the following models are supported by Genius
The following models are not yet supported by Genius
Continuous Bayesian networks
Dynamic Bayesian networks
Markov chains
Hidden Markov models
Markov random fields
Note: If you have continuous variables in your data, it is still possible to use Genius by binning the data into discrete categories.
What next?
To find out more about discrete Bayesian networks visit the Knowledge Center. Tutorials for building discrete Bayesian networks from scratch are shown in the Building Probabilistic Models section. Visit the medical diagnosis and insurance examples to see discrete Bayesian networks applied to simple, real-world problems. More example are available in the Examples section.
To find out more about POMDP models visit the POMDP page and the active inference page in the Knowledge Center. Tutorials on building POMDP models from scratch are shown in the Building Probabilistic Models section. Visit the agent navigation and multi-armed bandit examples to see POMDP networks applied to real-world problems.
