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CUSTOMIZED TRAINING WITH AN APPLICATION TO MASS SPECTROMETRIC IMAGING OF CANCER TISSUE
We introduce a simple, interpretable strategy for making predictions on test data when the features of the test data are available at the time of model fitting. Our proposal—customized training—clusters the data to find training points close to each test point and then fits an ℓ(1)-regularized model...
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| Publicado en: | Ann Appl Stat |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6200412/ https://ncbi.nlm.nih.gov/pubmed/30370000 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/15-AOAS866 |
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