Support vector machines
Auteur :
Steinwart, Ingo / Christmann, Andreas
Éditeur :
Springer-Verlag New York Inc.
ISBN :
9781489989635
Date de publication :
31 oct. 2014
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
USA
In a nutshell, we identify at least three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and last but not least their computational e?ciency compared with several other methods.