Gaussian Process-Based Transfer Kernel Learning for Unsupervised Domain Adaptation
Gaussian Process-Based Transfer Kernel Learning for Unsupervised Domain Adaptation
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
The discriminability and transferability of models are two important factors for the success of domain adaptation methods. Recently, some domain adaptation methods have improved models by adding a discriminant information extraction module. However, these methods need to carefully balance the discriminability and transferability of a model. To addr...
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Full title
Gaussian Process-Based Transfer Kernel Learning for Unsupervised Domain Adaptation
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TN_cdi_doaj_primary_oai_doaj_org_article_b69590830fec4d4fa1ca3757fdbc0a92
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b69590830fec4d4fa1ca3757fdbc0a92
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math11224695
