Multi-Similarity Based Multi-Source Transfer Learning and Its Applications

Abstract

—In this paper, a novel multi-source transfer learning method based on multi-similarity ((MS)TL) is proposed. First, we measure the similarities between domains at two levels, i.e., “domain-domain” and “sample-domain”. With the multisimilarities, (MS)TL can explore more accurate relationship between the source domains and the target domain. Then, the… (More)
DOI: 10.12720/jcm.11.6.539-549

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Cite this paper

@article{Liu2016MultiSimilarityBM, title={Multi-Similarity Based Multi-Source Transfer Learning and Its Applications}, author={Zhen Liu and Jun-an Yang and Hui Liu and Wei Wang}, journal={JCM}, year={2016}, volume={11}, pages={539-549} }