Our proposed methods employ learning and search techniques to estimate outcome features of interest as a function of mechanism parameter settings. We illustrate our approach with ...
Yevgeniy Vorobeychik, Christopher Kiekintveld, Mic...
Enabling nonexperts to understand a software system and the scenarios of usage of that system can be challenging. Visually modeling a collection of scenarios as social interaction...
This paper describes a simple distributed simulation for support of emergency response exercises. The simulation, called the Immersive Synthetic Environment for Exercises (ISEE), ...
The recognition of events in video data is a subject of much current interest. In this paper, we address several issues related to this topic. The first one is overfitting when ...
We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then tra...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...