Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications

DOI10.1007/s001800200106zbMath1010.62054OpenAlexW1539319235MaRDI QIDQ1855638

Paul Fischer, Thorsten Joachims, Andreas Christmann

Publication date: 6 February 2003

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s001800200106

zbMATH Keywords

approximationssupport vector machinesminimum number of misclassificationsregression depth methods

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear inference, regression (62J99)

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