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Low-Dimensional Density Ratio Estimation for Covariate Shift Correction
Covariate shift is a prevalent setting for supervised learning in the wild when the training and test data are drawn from different time periods, different but related domains, or via different sampling strategies. This paper addresses a transfer learning setting, with covariate shift between source...
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| Publicado no: | Proc Mach Learn Res |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6730633/ https://ncbi.nlm.nih.gov/pubmed/31497776 |
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