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Domain Adaptation with Conditional Transferable Components
Domain adaptation arises in supervised learning when the training (source domain) and test (target domain) data have different distributions. Let X and Y denote the features and target, respectively, previous work on domain adaptation mainly considers the covariate shift situation where the distribu...
Uloženo v:
| Vydáno v: | JMLR Workshop Conf Proc |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5321138/ https://ncbi.nlm.nih.gov/pubmed/28239433 |
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