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» On Universal Transfer Learning
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AAAI
2010
13 years 8 months ago
Adaptive Transfer Learning
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
MLMI
2007
Springer
14 years 1 months ago
Transfer Learning for Tandem ASR Feature Extraction
Joe Frankel, Özgür Çetin, Nelson ...
CHI
2009
ACM
14 years 8 months ago
Enhancing input device evaluation: longitudinal approaches
Jens Gerken HCI Group, University of Konstanz Box D-73 78457 Konstanz, Germany jens.gerken@uni-konstanz.de Hans-Joachim Bieg HCI Group, University of Konstanz Box D-73 78457 Konsta...
Jens Gerken, Hans-Joachim Bieg, Stefan Dierdorf, H...
ICML
2010
IEEE
13 years 8 months ago
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
CIKM
2010
Springer
13 years 6 months ago
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Eric Eaton, Marie desJardins, Sara Jacob