Structure Learning
The Hugin Graphical User Interface provides the user with powerful structure learning capabilities (i.e., learning the structure of a Bayesian-network model
from data (a set of cases)). Structure learning can be performed via the Learning
Wizard (which allows data to be read from data files, to be preprocessed,
etc.) or by activating one of the structure learning algorithms directly.
A number of algorithms are available for structure learning:
The PC algorithm,
the NPC algorithm,
the Greedy search-and-score
algorithm,
the Chow-Liu tree algorithm,
the Rebane-Pearl polytree
algoritm or the Tree Augmented
Naive Bayes algorithm.
See the also Structure
Learning Tutorial for more information.
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