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IUI
2000
ACM
13 years 11 months ago
Learning users' interests by unobtrusively observing their normal behavior
For intelligent interfaces attempting to learn a user’s interests, the cost of obtaining labeled training instances is prohibitive because the user must directly label each trai...
Jeremy Goecks, Jude W. Shavlik
ACRI
2004
Springer
14 years 22 days ago
Optimizing the Behavior of a Moving Creature in Software and in Hardware
We have investigated a problem where the goal is to find automatically the best rule for a cell in the cellular automata model. The cells are either of type OBSTACLE, EMPTY or CRE...
Mathias Halbach, Wolfgang Heenes, Rolf Hoffmann, J...
LREC
2010
176views Education» more  LREC 2010»
13 years 8 months ago
There's no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...
Ines Rehbein, Josef Ruppenhofer
CHI
2009
ACM
14 years 2 months ago
Tracking behavior in persuasive apps: is sensor-based detection always better than user self-reporting?
This paper aims to discuss the roles for the two types of tracking user behavior. Considering these two types of tracking, sensor based recognition has a great advantage when sens...
Miyuki Shiraishi, Yasuyuki Washio, Chihiro Takayam...
MM
2005
ACM
160views Multimedia» more  MM 2005»
14 years 27 days ago
Putting active learning into multimedia applications: dynamic definition and refinement of concept classifiers
The authors developed an extensible system for video exploitation that puts the user in control to better accommodate novel situations and source material. Visually dense displays...
Ming-yu Chen, Michael G. Christel, Alexander G. Ha...