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@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},
}