A novel piecewise linear classifier based on polyhedral conic and max-min separabilities
type: Item
instance of: scholarly article
title: A novel piecewise linear classifier based on polyhedral conic and max-min separabilities
zbMATH Open document ID: 1263.65051
author: Julien Ugon
author: Dean Webb
author: Gurkan Ozturk
author: Refail Kasimbeyli
author: A. M. Bagirov
published in: Top
publication date: 2013-04-23T00:00:00Z
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C25
zbMATH DE Number: 6156815
zbMATH Keywords: nonsmooth optimization
zbMATH Keywords: piecewise linear separability
zbMATH Keywords: data mining
zbMATH Keywords: supervised learning
zbMATH Keywords: piecewise linear classifiers
describes a project that uses: DGM
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: s11750-011-0241-5
OpenAlex ID: W1971368911
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cites work: Separation via polyhedral conic functions
cites work: Accurately learning from few examples with a polyhedral classifier
cites work: Automated design of multiple-class piecewise linear classifiers
cites work: Locally Trained Piecewise Linear Classifiers
cites work: Q4909813
cites work: Q5312442
DOI: 10.1007/S11750-011-0241-5
description: scientific article; zbMATH DE number 6156815