Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...
We implemented a five-week family program called Family Quest where parents and children ages 9 to 13 played Quest Atlantis, a multiuser 3D educational computer game, at a local af...
Sinem Siyahhan, Sasha A. Barab, Michael P. Downton
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Activity Recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware wearable computing. However, most approaches for activity r...