Learning the Relevant Percepts of Modular Hierarchical Bayesian Driver Models Using a Bayesian Information Criterion

Mark Eilers, Claus Möbus. Learning the Relevant Percepts of Modular Hierarchical Bayesian Driver Models Using a Bayesian Information Criterion. In Vincent G. Duffy, editor, Digital Human Modeling - Third International Conference, ICDHM 2011, Held as Part of HCI International 2011, Orlando, FL, USA July 9-14, 2011. Proceedings. Volume 6777 of Lecture Notes in Computer Science, pages 463-472, Springer, 2011. [doi]

@inproceedings{EilersM11,
  title = {Learning the Relevant Percepts of Modular Hierarchical Bayesian Driver Models Using a Bayesian Information Criterion},
  author = {Mark Eilers and Claus Möbus},
  year = {2011},
  doi = {10.1007/978-3-642-21799-9_52},
  url = {http://dx.doi.org/10.1007/978-3-642-21799-9_52},
  tags = {information models},
  researchr = {https://researchr.org/publication/EilersM11},
  cites = {0},
  citedby = {0},
  pages = {463-472},
  booktitle = {Digital Human Modeling - Third International Conference, ICDHM 2011, Held as Part of HCI International 2011, Orlando, FL, USA July 9-14, 2011. Proceedings},
  editor = {Vincent G. Duffy},
  volume = {6777},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-21798-2},
}