pict

Using the Learning Facilities

Currently, the Hugin GUI supports two kinds of learning: structure and parameter learning. Structure learning is the process where the system learns the dependencies between the variables which lie in the data. Parameter learning is the task where you want to fill in the parameters describing the strength of the dependencies in the learned (or built) structure. Look into our examples of how it is done.

Structure Learning

Parameter Learning