Another look at distance-weighted discrimination

Distance-weighted discrimination (DWD) is a modern margin-based classifier with an interesting geometric motivation. It was proposed as a competitor to the support vector machine (SVM). Despite many recent references on DWD, DWD is far less popular than the SVM, mainly because of computational and t...

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Veröffentlicht in:	Journal of the Royal Statistical Society. Series B, Statistical methodology Jg. 80; H. 1; S. 177 - 198
Hauptverfasser:	Wang, Boxiang, Zou, Hui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford John Wiley & Sons Ltd 01.01.2018 Oxford University Press
Schlagworte:	Algorithms Bayes risk consistency Bayesian analysis Classification Classifiers Computation data collection Discrimination Distance‐weighted discrimination equations Hilbert space Kernel learning Learning Learning theories Learning theory Machine learning Majorization–minimization principle Motivation Novels Regression analysis risk Second‐order cone programming Statistical methods Statistics Support vector machines
ISSN:	1369-7412, 1467-9868
Online-Zugang:	Volltext
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