Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
We describe the goals and proposed design for SimTK, part of the NIH-supported Simbios National Center for Biomedical Computing. SimTK (Simulation ToolKit) will enable biomedical ...
Scott L. Delp, F. Clayton Anderson, Russ B. Altman
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
In this work, we consider the task of allowing a content provider to enforce complex access control policies on oblivious protocols conducted with anonymous users. As our primary ...
Abstract. Understanding a large schema without the assistance of persons already familiar with it (and its associated applications), is a hard and very time consuming task that occ...