Feature-based transfer learning with real-world applications

@inproceedings{Yang2010FeaturebasedTL,
  title={Feature-based transfer learning with real-world applications},
  author={Qiang Yang and Jialin Pan},
  year={2010}
}
Transfer learning is a new machine learning and data mining framework that allows the training and test data to come from different distributions and/or feature spaces. [] Key Method We apply these methods to two diverse applications: cross-domain WiFi localization and cross-domain text classification, and achieve promising results.
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