Jason Eisner


Dept: Computer ScienceCognitive Science |  Centers: CLSPHLTCOEMINDS
Research interests: Structured prediction (including inference over unbounded objects), graphical models, policy learning for fast approximate inference, nonparametric Bayes, grammar induction, unsupervised learning, interactive learning
ApplicationsNatural Language