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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...

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Detalles Bibliográficos
Autores principales: Guan, Leying, Tibshirani, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
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