We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Any automated decision support software must tailor its actions or recommendations to the preferences of different users. Thus it requires some representation of user preferences ...
Interactive configurators are decision support systems assisting users in selecting values for parameters that respect given constraints. The underlying knowledge can be convenien...
Understanding complex 3D virtual models can be difficult, especially when the model has interior components not initially visible and ancillary text. We describe new techniques fo...
Henry Sonnet, M. Sheelagh T. Carpendale, Thomas St...