-
Notifications
You must be signed in to change notification settings - Fork 2
/
README
20 lines (11 loc) · 881 Bytes
/
README
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
# README #
## Sequential Monte Carlo for Graphical Models ##
* Implementations from the paper "Sequential Monte Carlo for Graphical Models", Naesseth, Lindsten and Schön (2014)
### Classical XY model ###
* Our method SMC for PGM is implemented in "xymodel.py" and "helpfunctions.py", example for running the code is available in the iPython Notebook file "runSMC_xymodel.ipynb". The method is profiled against AIS and ASIR, implemented in MATLAB/MEX. Example for running these algorithms are available in "run_xymodel.m".
### LDA evaluation ###
* The algorithms follow the implementation structure and uses the data found in Wallach et. al., "Evaluation methods for topic models", ICML 2009.
### Gaussian MRF ###
* All algorithms are run from terminal and tuning/experiment parameters are set in the files, python [FILENAME]
### Contact ###