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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Cross-domain learning methods have shown promising
results by leveraging labeled patterns from auxiliary domains
to learn a robust classifier for target domain, which
has a limi...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
We describe a reinforcement learning system that transfers skills from a previously learned source task to a related target task. The system uses inductive logic programming to ana...
HICSS
2006
IEEE
15 years 3 months ago
2006
IEEE
Guided by knowledge transfer (KT) literature and Channel Expansion Theory (CET), we explore the relationship between the KT process, role-based experiences and media perceptions i...
ICCBR
2009
Springer
15 years 4 months ago
2009
Springer
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performanc...
TKDE
2010
14 years 7 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...