Ordinal regression neural networks based on concentric hyperspheres
type: Item
instance of: scholarly article
title: Ordinal regression neural networks based on concentric hyperspheres
zbMATH Open document ID: 1325.68188
author: P. Gutiérrez
author: Peter Tino
author: César Hervás-Martínez
published in: Neural Networks
publication date: 2015-11-06T00:00:00Z
full work available at URL: Tino Ordinal regression concentric hyperspheres Neural Networks 2014.pdf
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6505398
zbMATH Keywords: ordinal regression
zbMATH Keywords: ordinal classification
zbMATH Keywords: neural networks
zbMATH Keywords: latent variable
Wikidata QID: Q51063046
describes a project that uses: UCI-ml
MaRDI profile type: Publication
OpenAlex ID: W2067001387
cites work: Q3150769
cites work: Reducing multiclass to binary: A unifying approach for margin classifiers
cites work: Q3174123
cites work: Q3093290
cites work: Support Vector Ordinal Regression
cites work: The unimodal model for the classification of ordinal data
cites work: Q3093335
cites work: Q4386929
cites work: Q4797059
cites work: Empirical evaluation of the improved rprop learning algorithms
cites work: Reduction from cost-sensitive ordinal ranking to weighted binary classification
cites work: Q4251826
cites work: Q3942245
cites work: Exploitation of Pairwise Class Distances for Ordinal Classification
cites work: Learning partial ordinal class memberships with kernel-based proportional odds models
DOI: 10.1016/J.NEUNET.2014.07.001
description: scientific article; zbMATH DE number 6505398