A predictor-corrector affine scaling method to train optimized extreme learning machine
type: Item
instance of: scholarly article
title: A predictor-corrector affine scaling method to train optimized extreme learning machine
author: Xiaojian Ding
author: Sheng Jin
author: Ming Lei
author: Fan Yang
published in: Journal of the Franklin Institute
publication date: 2022-01-25T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 7463992
describes a project that uses: MINQ8
describes a project that uses: UCI-ml
describes a project that uses: HOPDM
describes a project that uses: CONV_QP
describes a project that uses: GPDT
describes a project that uses: MINQ
describes a project that uses: SVMlight
describes a project that uses: Matlab
describes a project that uses: LOQO
describes a project that uses: Mosek
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2021.12.005
OpenAlex ID: W4200309777
cites work: Regularized symmetric indefinite systems in interior point methods for linear and quadratic optimization
cites work: Interior-point solver for large-scale quadratic programming problems with bound constraints
cites work: Ensemble extreme learning machine and sparse representation classification
cites work: Support-vector networks
cites work: Interior-Point Methods for Massive Support Vector Machines
cites work: HOPDM (version 2. 12) -- a fast LP solver based on a primal-dual interior point method
cites work: MINQ8: general definite and bound constrained indefinite quadratic programming
cites work: On the Implementation of a Primal-Dual Interior Point Method
cites work: Lectures on convex optimization
cites work: Gradient projection methods for quadratic programs and applications in training support vector machines
cites work: Q5396606
cites work: LOQO:an interior point code for quadratic programming
cites work: Q5691079
DOI: 10.1016/J.JFRANKLIN.2021.12.005
description: scientific article; zbMATH DE number 7463992