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- W3004560401 abstract "Motivated by problems of anomaly detection, this paper implements the Neyman-Pearson paradigm to deal with asymmetric errors in binary classification with a convex loss φ. Given a finite collection..." @default.
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- W3004560401 date "2011-11-01" @default.
- W3004560401 modified "2023-09-26" @default.
- W3004560401 title "Neyman-Pearson Classification, Convexity and Stochastic Constraints" @default.
- W3004560401 doi "https://doi.org/10.5555/1953048.2078196" @default.
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