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» Learning by Combining Observations and User Edits
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AAAI
2007
13 years 11 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
14 years 2 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 10 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 9 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 11 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...