A bilateral-truncated-loss based robust support vector machine for classification problems
type: Item
instance of: scholarly article
title: A bilateral-truncated-loss based robust support vector machine for classification problems
zbMATH Open document ID: 1359.62270
author: Xiaowei Yang
author: Le Han
author: Lifang He
author: Yan Li
published in: Soft Computing
publication date: 2017-04-12T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6705053
zbMATH Keywords: bilateral-weighted fuzzy support vector machine
zbMATH Keywords: support vector machine
zbMATH Keywords: fuzzy support vector machine
zbMATH Keywords: concave-convex procedure
zbMATH Keywords: class noise
describes a project that uses: SSVM
MaRDI profile type: Publication
full work available at URL: s00500-014-1448-9
OpenAlex ID: W2009400075
cites work: Minimization of functions having Lipschitz continuous first partial derivatives
cites work: Q3151174
cites work: Training a Support Vector Machine in the Primal
cites work: Multicategory ψ-Learning
cites work: Q3093335
cites work: Q3702408
cites work: Multicategory proximal support vector machine classifiers
cites work: A sharper Bonferroni procedure for multiple tests of significance
cites work: SSVM: A smooth support vector machine for classification
cites work: Robust Truncated Hinge Loss Support Vector Machines
cites work: The Concave-Convex Procedure
DOI: 10.1007/S00500-014-1448-9
description: scientific article; zbMATH DE number 6705053