Learning from partially supervised data using mixture models and belief functions
type: Item
instance of: scholarly article
title: Learning from partially supervised data using mixture models and belief functions
zbMATH Open document ID: 1181.68231
published in: Pattern Recognition
publication date: 2009-03-09T00:00:00Z
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 5526798
zbMATH Keywords: Dempster-Shafer theory
zbMATH Keywords: transferable belief model
zbMATH Keywords: mixture models
zbMATH Keywords: EM algorithm
zbMATH Keywords: classification
zbMATH Keywords: clustering
zbMATH Keywords: partially supervised learning
zbMATH Keywords: semi-supervised learning
author: T. Denœux
author: Etienne Côme
author: Latifa Oukhellou
author: Patrice Aknin
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.patcog.2008.07.014
OpenAlex ID: W2128314196
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DOI: 10.1016/J.PATCOG.2008.07.014
description: scientific article; zbMATH DE number 5526798