On the representability of a continuous multivariate function by sums of ridge functions

Functional equations for real functions (39B22) Approximation by other special function classes (41A30) Representation and superposition of functions (26B40)

Cites Work

Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
On some properties of finite sums of ridge functions defined on convex subsets of \(\mathbb{R}^n\)
On some properties of smooth sums of ridge functions
Smoothness and uniqueness in ridge function representation
Learning non-parametric basis independent models from point queries via low-rank methods
A representation problem for smooth sums of ridge functions
On a smoothness problem in ridge function representation
Projection-based approximation and a duality with kernel methods
Projection pursuit
Optimal reconstruction of a function from its projections
Identifying linear combinations of ridge functions
Ridgelets: estimating with ridge functions
A note on continuous sums of ridge functions
On the reconstruction of a function on a circular domain from a sampling of its line integrals
On the near optimality of the stochastic approximation of smooth functions by neural networks
The recovery of ridge functions on the hypercube suffers from the curse of dimensionality
On the representation by bivariate ridge functions
Inpainting of regular textures using ridge functions
Recovery of regular ridge functions on the ball
Linear/ridge expansions: enhancing linear approximations by ridge functions
Capturing ridge functions in high dimensions from point queries
The mathematics of computerized tomography
On Nonlinear Functions of Linear Combinations
Ridge Functions and Applications in Neural Networks
Tomographic reconstruction from arbitrary directions using ridge functions
Reconstruction of elongated structures using ridge functions and natural pixels
Ridge Functions
Measure Theoretic Results for Approximation by Neural Networks with Limited Weights
Computing the Approximation Error for Neural Networks with Weights Varying on Fixed Directions
0n the best approximation by ridge functions in the uniform norm
Optimization by moving ridge functions: derivative-free optimization for computationally intensive functions

This page was built for publication: On the representability of a continuous multivariate function by sums of ridge functions

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6632950)