%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{zhang-rr-05-48b,
                      author = {Zhang, Dong and Gatica-Perez, Daniel and Bengio, Samy and Roy, Deb},
                    projects = {Idiap},
                       title = {{Learning influence among interacting Markov chains}},
                   booktitle = {NIPS},
                        year = {2005},
                        note = {IDIAP-RR 05-48},
                    crossref = {zhang-rr-05-48},
                    abstract = {We present a model that learns the influence of interacting Markov chains within a team. The proposed model is a dynamic Bayesian network (DBN) with a two-level structure: individual-level and group-level. Individual level models actions of each player, and the group-level models actions of the team as a whole. Experiments on synthetic multi-player games and a multi-party meeting corpus show the effectiveness of the proposed model.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2005/zhang-nips-05.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2005/rr-05-48.ps.gz},
ipdmembership={vision},
}



crossreferenced publications: 
@TECHREPORT{zhang-rr-05-48,
                      author = {Zhang, Dong and Gatica-Perez, Daniel and Bengio, Samy and Roy, Deb},
                    projects = {Idiap},
                       title = {{Learning influence among interacting Markov chains}},
                        type = {Idiap-RR},
                      number = {Idiap-RR-48-2005},
                        year = {2005},
                 institution = {IDIAP},
                     address = {Martigny, Switzerland},
                        note = {Published in NIPS, Dec, 2005},
                    abstract = {We present a model that learns the influence of interacting Markov chains within a team. The proposed model is a dynamic Bayesian network (DBN) with a two-level structure: individual-level and group-level. Individual level models actions of each player, and the group-level models actions of the team as a whole. Experiments on synthetic multi-player games and a multi-party meeting corpus show the effectiveness of the proposed model.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2005/rr-05-48.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2005/rr-05-48.ps.gz},
ipdinar={2005},
ipdmembership={vision},
language={English},
}