The following tutorials are provided in two formats: WMV, which should be playable on most modern Windows machines (Windows XP or newer), and MPEG4 which is a popular format supported by most modern Windows, Mac OS X, and Linux systems.
Note: Videos pertain to the current official release. They do not cover
features added in the beta version.
- Tutorial: Introduction ( WMV 32.3 MB / MPEG4 13.1 MB )
Gives a basic introduction to the program, including: the
differences between Edit Mode and Query Mode, how to select nodes, how to
view posterior probabilities, how to set evidence, the evidence tree, and
some information about supported file formats.
- Tutorial: Creating Networks ( WMV 22.8 MB / MPEG4 11.0 MB )
Covers the functions SamIam provides to edit the structure of Bayesian networks, including: adding and deleting variable nodes
and adding and deleting dependencies between variables (edges).
- Tutorial: Inference ( WMV 34.3 MB / MPEG4 15.5 MB )
Introduces the four algorithms SamIam furnishes and explains what types of queries each algorithm supports. Also, introduces the new Evidence Impact tool.
- Tutorial: Belief Propagation ( WMV 32.6 MB / MPEG4 10.4 MB )
Introduces the two approximate inference algorithms provided by SamIam for Bayesian networks not amenable to exact inference: loopy belief propagation and ed-bp, a generalization of loopy belief propagation based on deleting edges.
- Tutorial: Sensitivity Analysis ( WMV 37.5 MB / MPEG4 15.3 MB )
Illustrates every feature of the Sensitivity
Analysis tool through three natural examples, including: one-variable and
two-variable constraints, unsatisfiable constraints, single-parameter and multiple-parameter suggestions, and how to automatically adopt suggested changes.
- Tutorial: Time-Space Tradeoffs ( WMV 25.2 MB / MPEG4 15.0 MB )
An example using the recursive conditioning algorithm. Provides guidance on how to best exploit the any-space features, and how to calculate Pr(e) using the least possible memory.
- Tutorial: MAP/MPE ( WMV 32.9 MB / MPEG4 12.1 MB )
Shows how to use both the Maximum a Posteriori (MAP) tool and
and Most Probable Explanation (MPE) tool, and uses an intuitive example as
the basis for a discussion of the differences between MAP and MPE.
- Tutorial: EM Learning ( WMV 20.2 MB / MPEG4 9.3 MB )
Shows how to use the SamIam EM Learning tool to learn CPT parameters from a Hugin format case file, and how to generate simulated case file data.
- Tutorial: Genie Files ( WMV 21.8 MB / MPEG4 10.5 MB )
An in-depth discussion of what features of Genie files
SamIam does and does not support, including: diagnosis node types,
submodels, noisy or semantics, and some information on trouble-shooting
SamIam's Genie file support.