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Learning from Multiple Sources via Multiple Domain Relationship
2016
IEICE transactions on information and systems
Transfer learning extracts useful information from the related source domain and leverages it to promote the target learning. The effectiveness of the transfer was affected by the relationship among domains. In this paper, a novel multi-source transfer learning based on multisimilarity was proposed. The method could increase the chance of finding the sources closely related to the target to reduce the "negative transfer" and also import more knowledge from multiple sources for the target
doi:10.1587/transinf.2016edl8008
fatcat:zibjkvthd5hthjdcefqhaw77ti