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  Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications
 
 
Title: Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications
Author: Christmann, Andreas
Fischer, Paul
Joachims, Thorsten
Appeared in: Computational statistics
Paging: Volume 17 () nr. 2 pages 273-287
Year: 2002
Contents:
Publisher: Springer Berlin Heidelberg, Berlin/Heidelberg
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3 of 10 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands