Semantic models have shown the utility of arbitrary user-de ned relationships for de ning the semantics of database information, while objectoriented models have developed a stron...
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying ...
Abstract. Computational models that attempt to predict when a virtual human should backchannel are often based on the analysis of recordings of face-to-face conversations between h...
Mitchell's notion of representation independence is a particularly useful application of Reynolds' relational parametricity -- two different implementations of an abstra...