New Release - Hugin 6.9
On November 5th 2007 - we have released new versions of the HUGIN
Graphical
User Interface (v6.9) and HUGIN Decision Engine (v6.7).
The main new features of this release are:
- Parameter
Sensitivity Analysis in HUGIN Graphical User Interface and APIs.
This includes a
Parameter Sensitivity Wizard in the HUGIN Graphical User Interface
- Internationalization
of HUGIN Graphical User Interface (distributions include support for
English and Japanese languages)
- An
Adaptation Wizard in the
HUGIN Graphical User Interface
Hugin
Graphical User Interface v6.9:
The
HUGIN Graphical User Interface has been improved with various new
features. This
includes:
- A Parameter Sensitivity
Analysis Wizard. The Parameter Sensitivity Analysis Wizard aids the
user in the process of identifying the most influential (conditional
probability) parameters of a model and analyzing their effects on the
"output" probabilities of the model.
- A color chart is displayed in
conjunction with a node table for discrete nodes. The purpose of the
color chart is to show where the large values are concentrated.
- The Learning Wizard now
supports the specification of constraints between a node and a subset
of nodes.
- The performance of
the EM learning algorithm has been improved significantly by saving the
initial clique potentials to memory, if possible. This improves the
time efficiency of learning CPTs significantly, but increases the
memory usage.
- A "Save to memory" option has been
added to Network
Properties. The save-to-memory operation stores a copy of the
initial clique potentials in memory. This implies a faster
initialization process which may improve efficiency of performing
multiple propagations (e.g., as part of the Analysis Wizard).
- An adaptation wizard has been
added. The adaptation wizard allows for performing batch adaptation
using a number of HUGIN case and data files. Experience counts and
posterior marginal distributions can be recorded as they develop during
adaptation, and can be plotted as a graph.
- Japanese language support.
- Functionality has
been added for computing the joint probability distribution over a set
of discrete chance nodes.
- The HTML help pages
have been extended with search facilities. In addition, the HTML help
pages have been updated with a case and data files tutorial. Also,
revisions have been made to the tutorial on adaptation and EM learning.
- Node and Domain descriptions
support the use of HTML tags.
- It is possible to
resize the dialog for inserting
likelihood evidence.
- The conflict
resolution button is enabled when evidence has been propagated. This
allows the user to investigate subsets of the evidence when there is no
conflict in the entire set of evidence.
- A JDBC interface has
been added to the Wizards supporting database connectivity.
- A Cases/Beliefs panel
has been added to the Analysis
Wizard. This allows the user to compute and display the posterior
probability of a hypothesis for a large number of cases.
- GUI response when
working with large networks has been speeded up.
- Belief bars can be
forced to render in scientific notation.
- The status bar
reports the mean and variance for discrete numerical nodes when
selected in run-mode.
- The status bar
reports the mean and variance for continuous nodes when selected in
run-mode.
- The selection of a
continuous chance node reports the size of the node table to the status
bar.
- The title of a
network window now specifies whether a network is a "net" (i.e., non
class model) or a "class" model.
Finally,
efforts have been put into improving the stability of the HUGIN
Graphical
User Interface.
Hugin
Decision Engine v6.7:
The HUGIN
Decision Engine has been extended with the following features:
- Sensitivity analysis:
Functions to aid in the process of identifying the most influential
(conditional probability) parameters of a model and analyzing their
effects on the "output" probabilities of the model are now provided.
- New statistical
distributions: LogNormal, Triangular, and PERT.
- An optional location
parameter has been added to the Gamma, Exponential, and Weibull
distributions.
- Truncated continuous
distributions can be expressed using a new truncation operator: It is
possible to specify double as well as single truncation (single
truncation is either left or right truncation).
- It is now possible to
combine expressions of different types in conditional expressions. This
permits specification of relationships that are sometimes probabilistic
and sometimes deterministic.
- The performance of
the operation for computing marginals on sets of nodes has been
improved.
- The
performance of inference has been improved for cases in which a memory
backup is not available.
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