Daniel Meyer-Delius, Christian Plagemann, Georg von Wichert, Wendelin Feiten, Gisbert Lawitzky, Wolfram Burgard. A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems. In Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker, editors, Data Analysis, Machine Learning and Applications - Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007. Studies in Classification, Data Analysis, and Knowledge Organization, pages 269-276, Springer, 2007. [doi]
@inproceedings{Meyer-DeliusPWFLB07, title = {A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems}, author = {Daniel Meyer-Delius and Christian Plagemann and Georg von Wichert and Wendelin Feiten and Gisbert Lawitzky and Wolfram Burgard}, year = {2007}, doi = {10.1007/978-3-540-78246-9_32}, url = {http://dx.doi.org/10.1007/978-3-540-78246-9_32}, researchr = {https://researchr.org/publication/Meyer-DeliusPWFLB07}, cites = {0}, citedby = {0}, pages = {269-276}, booktitle = {Data Analysis, Machine Learning and Applications - Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007}, editor = {Christine Preisach and Hans Burkhardt and Lars Schmidt-Thieme and Reinhold Decker}, series = {Studies in Classification, Data Analysis, and Knowledge Organization}, publisher = {Springer}, isbn = {978-3-540-78239-1}, }