Transfer Learning Algorithm

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A Transfer Learning Algorithm is a learning algorithm that trains on a one learning dataset prior to being applied to another learning dataset.



References

2018

2010

2009

  • (Chen et al., 2009) ⇒ Bo Chen, Wai Lam, Ivor Tsang, and Tak-Lam Wong. (2009). “Extracting Discrimininative Concepts for Domain Adaptation in Text Mining.” In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557045
    • … Several domain adaptation methods have been proposed to learn a reasonable representation so as to make the distributions between the source domain and the target domain closer [3, 12, 13, 11].

2008

  • (Pan et al., 2008) ⇒ S. J. Pan, J. T. Kwok, and Q. Yang. (2008). “Transfer Learning via Dimensionality Reduction.” In: Proceedings of the 23rd AAAI conference on Artificial Intelligence.

2007

2006