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Pernkopf, F., Peharz R., & Tschiatschek S. (2014).  Introduction to Probabilistic Graphical Models. Academic Press Library in Signal Processing, Vol. 1, Ch. 18. 989-1064. Download: PGM.pdf (825.41 KB)
Peharz, R., Tschiatschek S., & Pernkopf F. (2013).  The Most Generative Maximum Margin Bayesian Networks. International Conference on Machine Learning, JMLR W&CP. 28(3), 235–243. Abstract  Download: peharz13.pdf (281.62 KB); peharz13-supp.pdf (148.5 KB)
Tschiatschek, S., Chacon C. C., & Pernkopf F. (2013).  Bound for Bayesian Network Classifiers with Reduced Precision Parameters. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 3357- 3361. Download: main.pdf (97.51 KB)
Tschiatschek, S., & Pernkopf F. (2012).  Convex Combinations of Maximum Margin Bayesian Network Classifiers. International Conference on Pattern Recognition Applications and Methods (ICPRAM).
Tschiatschek, S., Reinprecht P., Mücke M., & Pernkopf F. (2012).  Bayesian Network Classifiers with Reduced Precision Parameters. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). Abstract  Download: ReducedPrecisionBNCs.pdf (491.66 KB)
Pernkopf, F., Wohlmayr M., & Tschiatschek S. (2012).  Maximum Margin Bayesian Network Classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(3), 521-532. Download: MasterTPAMI_Re2.pdf (600.7 KB)