A comparison of deep networks with ReLU activation function and linear spline-type methods

标题
A comparison of deep networks with ReLU activation function and linear spline-type methods
作者
关键词
Deep neural networks, Nonparametric regression, Splines, MARS, Faber–Schauder system, Rates of convergence
出版物
NEURAL NETWORKS
Volume 110, Issue -, Pages 232-242
出版商
Elsevier BV
发表日期
2018-12-04
DOI
10.1016/j.neunet.2018.11.005

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