New Release - Hugin 7.1
Today - March 25th, 2009 - we have released a new version of the HUGIN software (v7.1).
The main new features of this release are:
- Parameter estimation from data for continuous nodes using the
Expectation Maximization (EM) algorithm. The HUGIN tool has been
extended with functionality to perform parameter estimation for both
discrete and continuous nodes in a Bayesian network. The parameter
estimation is performed using the EM algorithm supporting missing
values in data.
- Two-way parameter sensitivity analysis has been included in the
Parameter Sensitivity Wizard. The Parameter Sensitivity Wizard has
been extended with support to perform two-way parameter sensitivity
analysis on an output probability given a set of evidence. This allows
the user to efficiently investigate the impact of co-varying two
parameters on a posterior probability.
Hugin
Graphical User Interface v7.1:
The
HUGIN Graphical User Interface has been improved with various new
features. This
includes:
- Learning Wizard: Functionality for saving and loading data
preprocessing definitions, e.g., the specification of a discretization
operation or value replacements.
- Learning Wizard: Discretization using Information Entropy
Minimization (U. M. Fayyad and K. B. Irani. 'Multi-Interval
discretization of continuous valued attributes').
-
Learning Wizard: Discretization of multiple numeric variables have been improved to become more user friendly.
- Analysis Wizard: Functionality for exporting the results of a series
of belief update operations across a set of cases to a CSV file.
- Analysis Wizard: Functionality for generating a PDF report over the
results of a series of belief update operations across a set of cases.
- Parameter Sensitivity Wizard: Computing Sensitivity on multiple
cases from a case file.
-
In addition to parallelizing table operations when compiling and
propagating in run-mode. Table operations when learning and in various
wizards may also be parallelized.
-
Added option for specifying a background image for the
network panel.
-
Allowing the creation and parsing of invalid Expressions in the
Expression Builder Wizard.
-
Other minor improvements.
Finally, efforts have been put into
improving the performance of the HUGIN
Graphical
User Interface.
Hugin
Decision Engine v7.1:
The HUGIN
Decision Engine has been extended with the following features:
-
The EM algorithm has been extended to learn CG distributions for
continuous nodes.
-
The EM algorithm now permits learning to be enabled/disabled for
specific parent configurations: A nonnegative experience count enables learning, while a negative experience count disables learning.
-
The EM algorithm now checks that the equilibrium is `sum' with no
evidence incorporated. As a "sanity" check, it also verifies that
learning is enabled (that is, there must exist at least one node with
a nonnegative experience count), and that case data has been
specified.
-
Because the EM algorithm is controlled by experience tables,
continuous nodes may now also be given experience tables.
-
The HKB format has been updated (in order to support parameter
learning for continuous nodes).
-
The model scoring functions now check that the junction tree
potentials are up-to-date with respect to the node tables and their
models (if any).
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