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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...
Sparad:
| I publikationen: | JMLR Workshop Conf Proc |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5321138/ https://ncbi.nlm.nih.gov/pubmed/28239433 |
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