CONF
zhang-rr-05-48b/IDIAP
Learning influence among interacting Markov chains
Zhang, Dong
Gatica-Perez, Daniel
Bengio, Samy
Roy, Deb
EXTERNAL
https://publications.idiap.ch/attachments/reports/2005/zhang-nips-05.pdf
PUBLIC
https://publications.idiap.ch/index.php/publications/showcite/zhang-rr-05-48
Related documents
NIPS
2005
IDIAP-RR 05-48
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.
REPORT
zhang-rr-05-48/IDIAP
Learning influence among interacting Markov chains
Zhang, Dong
Gatica-Perez, Daniel
Bengio, Samy
Roy, Deb
EXTERNAL
https://publications.idiap.ch/attachments/reports/2005/rr-05-48.pdf
PUBLIC
Idiap-RR-48-2005
2005
IDIAP
Martigny, Switzerland
Published in NIPS, Dec, 2005
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.