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» Learning Algorithms for Domain Adaptation
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IPM
2008
139views more  IPM 2008»
15 years 3 months ago
Complex adaptive filtering user profile using graphical models
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
Yi Zhang 0001
MI
1993
15 years 4 months ago
Controlling a steel mill with BOXES
We describe an application of the BOXES learning algorithm of Michie and Chambers (1968) to a large-scale, real-world problem, namely, learning to control a steel mill. By applyin...
Michael McGarity, Claude Sammut, David P. Clements
KDD
2003
ACM
214views Data Mining» more  KDD 2003»
16 years 3 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
ICWS
2007
IEEE
15 years 4 months ago
A Semantic Web Services-based Infrastructure for Context-Adaptive Process Support
Current technologies aimed at supporting processes – whether it is a business or learning process – primarily follow a metadata- and data-centric paradigm. Whereas process met...
Stefan Dietze, Alessio Gugliotta, John Domingue
ICML
2004
IEEE
16 years 3 months ago
Communication complexity as a lower bound for learning in games
A fast-growing body of research in the AI and machine learning communities addresses learning in games, where there are multiple learners with different interests. This research a...
Vincent Conitzer, Tuomas Sandholm