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Neyman-Pearson classification, convexity and stochastic constraints
binary classifi cation Neyman-Pearson paradigm anomaly detection stochastic constraint convexity empirical risk minimization chance constrained optimization
2011/3/25
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. Given a finite collection of c...
