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» Automatic Understanding of Signals
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MICCAI
2007
Springer
16 years 4 months ago
Sources of Variability in MEG
Abstract. This paper investigates and characterizes sources of variability in MEG signals in multi-site, multi-subject studies. Understanding these sources will help to develop eff...
Matti Hämäläinen, Polina Golland, W...
CHI
2010
ACM
15 years 10 months ago
How does search behavior change as search becomes more difficult?
Search engines make it easy to check facts online, but finding some specific kinds of information sometimes proves to be difficult. We studied the behavioral signals that suggest ...
Anne Aula, Rehan M. Khan, Zhiwei Guan
CHI
2010
ACM
15 years 10 months ago
Detecting professional versus personal closeness using an enterprise social network site
In this work we analyze the behavior on a company-internal social network site to determine which interaction patterns signal closeness between colleagues. Regression analysis sug...
Anna Wu, Joan Morris DiMicco, David R. Millen
CHI
2010
ACM
15 years 9 months ago
Brain, body and bytes: psychophysiological user interaction
The human brain and body are prolific signal generators. Recent technologies and computing techniques allow us to measure, process and interpret these signals. We can now infer su...
Audrey Girouard, Erin Treacy Solovey, Regan L. Man...
AAAI
2006
15 years 5 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal