Paper:
S. J. Pan and Q. Yang, “A Survey on Transfer Learning,” IEEE TKDE, 2010.
Transfer learning is the improvement of learning in a new task through the transfer of knowledge from a related task that has already been learned. Now it is used in the computer-based machine learning task.
The need for transfer learning may arise when the data can be easily outdated. In this case, the labeled data
obtained in one time period may not follow the same distribution in a later time period.
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