Large-margin classification with multiple decision rules

Binary classification is a common statistical learning problem in which a model is estimated on a set of covariates for some outcome, indicating the membership of one of two classes. In the literature, there exists a distinction between hard and soft classification. In soft classification, the condi...

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Bibliographic Details

Published in:	Statistical analysis and data mining Vol. 9; no. 2; pp. 89 - 105
Main Authors:	Kimes, Patrick K., Hayes, David Neil, Marron, J. S., Liu, Yufeng
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.04.2016 Wiley Subscription Services, Inc
Subjects:	Algorithms Alzheimer's disease Classification Cognitive tasks conditional probability estimation excess risk bounds Learning Magnetic resonance imaging Medical imaging Statistical analysis statistical machine learning supervised learning Task complexity
ISSN:	1932-1864, 1932-1872
Online Access:	Get full text
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