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» Learning by Combining Observations and User Edits
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AAAI
2007
13 years 6 months ago
Learning by Combining Observations and User Edits
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
ICALT
2005
IEEE
13 years 10 months ago
Visualizing Topic Maps for e-Learning
TM4L is an e-learning environment providing editing and browsing support for developing and using Topic Maps-based digital course libraries. The TM4L functionality is enhanced by ...
Darina Dicheva, Christo Dichev, Dandan Wang
INTERACT
2003
13 years 5 months ago
Be Quiet? Evaluating Proactive and Reactive User Interface Assistants
: This research examined the ability of an anthropomorphic interface assistant to help people learn and use an unfamiliar text-editing tool, with a specific focus on assessing proa...
Jun Xiao, Richard Catrambone, John T. Stasko
WWW
2007
ACM
14 years 5 months ago
Learning information intent via observation
Workers in organizations frequently request help from assistants by sending request messages that express information intent: an intention to update data in an information system....
Anthony Tomasic, Isaac Simmons, John Zimmerman
AAAI
2007
13 years 6 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...