Using financial risk measures for analyzing generalization performance of machine learning models
type: Item
instance of: scholarly article
title: Using financial risk measures for analyzing generalization performance of machine learning models
zbMATH Open document ID: 1325.68199
author: Akiko Takeda
author: Takafumi Kanamori
published in: Neural Networks
publication date: 2015-11-06T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 91G70
zbMATH DE Number: 6505382
zbMATH Keywords: support vector machine
zbMATH Keywords: minimax probability machine
zbMATH Keywords: financial risk measure
zbMATH Keywords: generalization performance
MaRDI profile type: Publication
full work available at URL: j.neunet.2014.05.006
OpenAlex ID: W2069826088
Wikidata QID: Q45956937
cites work: Q3182207
cites work: Q3093230
cites work: Minimum distance to the complement of a convex set: Duality result
cites work: Support-vector networks
cites work: On Nonlinear Fractional Programming
cites work: Worst-Case Value-At-Risk and Robust Portfolio Optimization: A Conic Programming Approach
cites work: Q3998716
cites work: Q2933849
cites work: Q3413299
cites work: 10.1162/153244303321897726
cites work: Estimating the support of a high-dimensional distribution
cites work: Q3093392
cites work: Support Vector Machines
cites work: A Unified Classification Model Based on Robust Optimization
cites work: Q4864293
cites work: Robust classification and regression using support vector machines
cites work: Q3093255
cites work: Robustness and regularization of support vector machines
DBLP publication ID: journals/nn/TakedaK14
DOI: 10.1016/J.NEUNET.2014.05.006
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description: scientific article; zbMATH DE number 6505382