Minimax optimal high‐dimensional classification using deep neural networks

High‐dimensional classification is a fundamentally important research problem in high‐dimensional data analysis. In this paper, we derive a nonasymptotic rate for the minimax excess misclassification risk when feature dimension exponentially diverges with the sample size and the Bayes classifier pos...

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Veröffentlicht in:	Stat (International Statistical Institute) 2022-12, Vol.11 (1), p.n/a
Hauptverfasser:	Wang, Shuoyang, Shang, Zuofeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Classification Classifiers Data analysis deep neural network Dimensional analysis high‐dimensional classification minimax excess misclassification risk Minimax technique modular structure Modular structures
Online-Zugang:	Volltext
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