Gradient/Hessian-enhanced least square support vector regression
type: Item
instance of: scholarly article
title: Gradient/Hessian-enhanced least square support vector regression
zbMATH Open document ID: 1476.62149
author: Ting Jiang
author: Xiaojian Zhou
published in: Information Processing Letters
publication date: 2018-04-04T00:00:00Z
Mathematics Subject Classification ID: 62J02
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 6855747
zbMATH Keywords: algorithms
zbMATH Keywords: least square support vector regression
zbMATH Keywords: metamodel
zbMATH Keywords: gradient
zbMATH Keywords: Hessian
describes a project that uses: TAPENADE
describes a project that uses: ADiMat
MaRDI profile type: Publication
full work available at URL: j.ipl.2018.01.014
OpenAlex ID: W2793761225
cites work: An introduction to the adjoint approach to design
cites work: Q4954403
cites work: A Study on SMO Algorithm for Solving ϵ-SVR with Non-PSD Kernels
DOI: 10.1016/J.IPL.2018.01.014
description: scientific article; zbMATH DE number 6855747