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Prediction and outlier detection in classification problems
We consider the multi‐class classification problem when the training data and the out‐of‐sample test data may have different distributions and propose a method called BCOPS (balanced and conformal optimized prediction sets). BCOPS constructs a prediction set C(x) as a subset of class labels, possibl...
Autores principales: | Guan, Leying, Tibshirani, Robert |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9305480/ https://www.ncbi.nlm.nih.gov/pubmed/35910400 http://dx.doi.org/10.1111/rssb.12443 |
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