Integral equations and machine learning
type: Item
instance of: scholarly article
title: Integral equations and machine learning
author: Alexander Keller
author: Ken Dahm
published in: Mathematics and Computers in Simulation
publication date: 2021-03-02T00:00:00Z
full work available at URL: https://arxiv.org/abs/1712.06115
Mathematics Subject Classification ID: 65Dxx
Mathematics Subject Classification ID: 68Uxx
zbMATH DE Number: 7316671
zbMATH Keywords: integral equations
zbMATH Keywords: reinforcement learning
zbMATH Keywords: artificial neural networks
zbMATH Keywords: Monte Carlo and quasi-Monte Carlo methods
zbMATH Keywords: light transport simulation
describes a project that uses: Noise2Noise
describes a project that uses: Algorithm 247
describes a project that uses: rhalton
MaRDI profile type: Publication
OpenAlex ID: W2898801573
cites work: Learning light transport the reinforced way
cites work: Q5270493
cites work: Multilayer feedforward networks are universal approximators
cites work: Hierarchical Monte Carlo image synthesis
cites work: Global illumination with radiance regression functions
cites work: Q4040428
cites work: \({\mathcal Q}\)-learning
DOI: 10.1016/J.MATCOM.2019.01.010
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description: scientific article; zbMATH DE number 7316671