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» On Universal Transfer Learning
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EDUTAINMENT
2010
Springer
13 years 9 months ago
Transferring Design Knowledge: Challenges and Opportunities
Design becomes more and more the art of bringing together expertise and experts from different domains in creating future products. Synthetical knowledge and hands-on skills in des...
Jun Hu, Wei Chen, Christoph Bartneck, Matthias Rau...
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 6 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
ATAL
2008
Springer
13 years 10 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...
LEGE
2003
102views Education» more  LEGE 2003»
13 years 9 months ago
Evolving from a Traditional Distance Learning Model to e-Learning
This paper presents experiences from the course of Informatics at the Hellenic Open University. Problems faced and lessons learned are presented relating to the
Michalis Nik Xenos, Athanassios N. Skodras
ICML
2010
IEEE
13 years 9 months ago
OTL: A Framework of Online Transfer Learning
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
Peilin Zhao, Steven C. H. Hoi