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» Improving Rule Evaluation Using Multitask Learning
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AUSAI
2004
Springer
15 years 1 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
ICMI
2007
Springer
222views Biometrics» more  ICMI 2007»
15 years 3 months ago
Evaluation of haptically augmented touchscreen gui elements under cognitive load
Adding expressive haptic feedback to mobile devices has great potential to improve their usability, particularly in multitasking situations where one’s visual attention is requi...
Rock Leung, Karon E. MacLean, Martin Bue Bertelsen...
COLT
1998
Springer
15 years 1 months ago
Robust Learning Aided by Context
Empirical studies of multitask learning provide some evidence that the performance of a learning system on its intended targets improves by presenting to the learning system relat...
John Case, Sanjay Jain, Matthias Ott, Arun Sharma,...
IJCNN
2000
IEEE
15 years 1 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
15 years 3 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull