Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Simulation of traffic flow is an effective tool for evaluating alternative roadway designs, particularly in congested urban areas. CORSIM, a traffic simulation model with detailed...
We evaluate probabilistic models of verb argument structure trained on a corpus of verbs and their syntactic arguments. Models designed to represent patterns of verb alternation b...