Estimation of a Regression Function by Maxima of Minima of Linear Functions

DOI10.1109/TIT.2008.2009835zbMath1367.62085MaRDI QIDQ4975739

Conny Clausen, Michael Kohler, Adil M. Bagirov

Publication date: 8 August 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Approximation by arbitrary linear expressions (41A45)

Related Items

Robust piecewise linear L₁-regression via nonsmooth DC optimization, Estimation of a regression function on a manifold by fully connected deep neural networks, Analysis of discrete \(L^2\) projection on polynomial spaces with random evaluations, Analysis of the rate of convergence of two regression estimates defined by neural features which are easy to implement, Analysis of the rate of convergence of fully connected deep neural network regression estimates with smooth activation function, \(K\)-plane regression, On deep learning as a remedy for the curse of dimensionality in nonparametric regression, A difference of convex optimization algorithm for piecewise linear regression