With this framework, RL ensures the TDS process being conducted without requiring a predefined threshold and can automatically select the best instances in the training data as well as learn task-and domainspecific representations for them according to the target domain.
useful information from the source domain is properly organized and represented and the redundant or noisy data are avoided in training the target domain specific models.