A new convex objective function for the supervised learning of single-layer neural networks
type: Item
instance of: scholarly article
title: A new convex objective function for the supervised learning of single-layer neural networks
zbMATH Open document ID: 1191.68499
author: Oscar Fontenla-Romero
author: Bertha Guijarro-Berdiñas
author: Beatriz Pérez-Sánchez
author: Amparo Alonso-Betanzos
published in: Pattern Recognition
publication date: 2010-04-07T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5690075
zbMATH Keywords: single-layer neural networks
zbMATH Keywords: global optimum
zbMATH Keywords: supervised learning method
zbMATH Keywords: least squares
zbMATH Keywords: convex optimization
zbMATH Keywords: incremental learning
describes a project that uses: UCI-ml
describes a project that uses: STPRTool
MaRDI profile type: Publication
Wikidata QID: Q58036772
full work available at URL: j.patcog.2009.11.024
OpenAlex ID: W2046251965
cites work: Q3992731
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cites work: Complexity of Solving Linear Systems in Different Models of Computation
cites work: Q5595902
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cites work: Multicategory proximal support vector machine classifiers
DOI: 10.1016/J.PATCOG.2009.11.024
description: scientific article; zbMATH DE number 5690075