Instructor:
Kevin Patrick Murphy http://www.cs.ubc.ca/~murphyk/
TA:
Frank Hutter http://www.cs.ubc.ca/~hutter
Course
Webpage:
http://www.cs.ubc.ca/~murphyk/Teaching/CS540_Fall05/index.html
Final
Project:
Performance
comparison of approximate inference techniques used by WinBugs &
Vibes.
WinBugs
Linear Regression (1-D & 2-D):
-
1-D model, data &
initialization (.zip) < script file >
-
2-D
uncorrelated weights - model, data & initialization <
script
file >
-
2-D correlated
weights - model, data & initialization (.zip)< script file
>
Instructions
for running codes:
Download
the .zip files, extract them
in the WinBugs directory (commonly C:\Program Files\WinBUGS14).
Download the corresponding script files & save them in the same
directory. Type in the command:
WinBUGS14.exe /PAR <script file name>
For
example to run the demo for 2-D correlated weights, type
WinBUGS14.exe /PAR script_2d_cor.txt
in
the WinBUGS directory. See WinBugs webpage for instructions &
details on its usage at: http://www.mrc-bsu.cam.ac.uk/bugs/
Vibes
Linear Regression (2-D):
-
Matlab Codes
(.zip)
Instructions
for running the codes:
Since
Vibes is free, I have bundled it with the zip file. Extract it at a convenient place
& run the functions. This function can only be run in Matlab 7.0,
Release 14 & does not work with Matlab 6 & lower versions
(trust me, I spent several days trying to make it work in Matlab 6). If
you get an error like:
> In vlinregr at 65
??? The function, script, or class Vibes cannot be indexed using {} or
. indexing.
It
means Vibes JAR file has not registered itself with Matlab. This is
a known issue. I suggest you try multiple times with intervals in
between each attempt till the JAR gets initialized (and yes, eventually
it should).
For
any other query check Vibes webpage at: http://vibes.sourceforge.net/index.shtml
Project
Presentation Slides
-
PDF <<6-up>> <<1-up>>
-
Powerpoint
PPT
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