· Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier (Machine Learning, 110, 1-61, 2020)
o Readme
o The code and accompanied file
o Zip file with data and script to run a demo
· Identifying and predicting social lifestyles in people's trajectories by neural networks (EPJ Data Science, vol. 7(45), pp. 1-27, 2018)
o Readme
o Zip file with the code
· Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns (ESANN2017)
o Readme
o Zip file with the code
· Learning Pairwise Cluster Comparison (LPCC)
o A preliminary version (ACML2012, JMLR Workshop & Conference Proceedings, 25:33-48, 2012)
o The full paper: Part I – Theory and overview (JMLR, 17(233):1-52, 2016)
o The full paper: Part II – Algorithm and evaluation (JMLR, 17(224):1-45, 2016)
o Version 1 code (12 December, 2014)
o Version 2 code (30 June, 2015)
o Version 3 code and data sets (31 December, 2016)
o A readme file
· Adaptive thresholding in structure learning of a Bayesian network (IJCAI2013, pp. 1458-1464, 2013)
o Readme
o The code
· Risk minimization by cross-validation (RMCV) algorithm (IJAR, 53:248-272, 2012)
o A readme file
o A demo file
o The codes for the RMCV score and algorithm
· Recursive autonomy identification (RAI) algorithm (JMLR, 10:1527-1570, 2009)
o RAI is a zip file that contains a prototype of the RAI implementation and a usage file.
o test_RAI is a zip file that contains a demo file (test_struct_learn_RAI.m) to test RAI on the Alarm network, along with an Alarm 10000-sample dataset. It is the same dataset used in the RAI-usage file. The set was generated using the original mk_alarm_bnet in BNT file (path: "...\bnt\BNT\examples\static\Models"). For different dataset sizes or other datasets, a more optimal threshold might be needed, and that threshold can be identified using the method given in the usage file.
o test_struct_learn_RAI is a file that outputs the results of running test_struct_learn_RAI.m in Matlab.
· The Bayesian ARTMAP (IEEE TNN, 18(6):1628-1644, 2007)
o A user guide
o The code
o A defaults file
o An example (see the user guide)
· Identifying Human Lifestyles by Trajectory Embedding from Cellular Data
o Readme
o Zip file with the code
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maintained by Boaz Lerner (Boaz@bgu.ac.il)