Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Usage data logged from user interactions can be extremely valuable for evaluating software usability. However, instrumenting software to collect usage data is a time-intensive tas...
Scott Bateman, Carl Gutwin, Nathaniel Osgood, Gord...
Personal health records (PHR) have enormous potential to improve both documentation of health information and patient care. The adoption of these systems, however, has been relati...
Marginalization threatens basic issues of fairness and equal opportunity for a significant portion of children around the n this extended abstract, we frame the problem of margina...
Juan Pablo Hourcade, Natasha E. Bullock-Rest, Heid...
High-performance computing is essential for solving large problems and for reducing the time to solution for a single problem. Current top high-performance computing systems conta...