A robust approach based on conditional value-at-risk measure to statistical learning problems
type: Item
instance of: scholarly article
title: A robust approach based on conditional value-at-risk measure to statistical learning problems
zbMATH Open document ID: 1163.90686
author: Akiko Takeda
author: Takafumi Kanamori
published in: European Journal of Operational Research
publication date: 2009-06-30T00:00:00Z
Mathematics Subject Classification ID: 90C15
zbMATH DE Number: 5571516
zbMATH Keywords: data mining
zbMATH Keywords: uncertainty modelling
zbMATH Keywords: stochastic programming
zbMATH Keywords: conditional value-at-risk
zbMATH Keywords: support vector machine
describes a project that uses: LIBSVM
describes a project that uses: SeDuMi
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.ejor.2008.07.027
OpenAlex ID: W1967249415
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DOI: 10.1016/J.EJOR.2008.07.027
description: scientific article; zbMATH DE number 5571516