Neyman-Pearson classification: parametrics and sample size requirement
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Publication:4969044
zbMath1497.62159arXiv1802.02557MaRDI QIDQ4969044
Xin Tong, Lucy Xia, Jiacheng Wang, Yang Feng
Publication date: 5 October 2020
Full work available at URL: https://arxiv.org/abs/1802.02557
classificationadaptive splittinglinear discriminant analysis (LDA)asymmetric errorNeyman-Pearson (NP) paradigmminimum sample size requirementNP oracle inequalitiesNP umbrella algorithm
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)
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