nips nips2005 nips2005-111 nips2005-111-reference knowledge-graph by maker-knowledge-mining
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Author: Dong Zhang, Daniel Gatica-perez, Samy Bengio, Deb Roy
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. 1
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