Learning Influence among Interacting Markov Chains
Zhang, Dong, Gatica-perez, Daniel, Bengio, Samy, Roy, Deb
–Neural Information Processing Systems
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.
Neural Information Processing Systems
Dec-31-2006