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 [BibTeX] [Marc21]
Learning influence among interacting Markov chains
Type of publication: Conference paper
Citation: zhang-rr-05-48b
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.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Zhang, Dong
Gatica-Perez, Daniel
Bengio, Samy
Roy, Deb
Added by: [UNK]
Total mark: 0
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