Input feature and kernel selection for support vector machine classification

A feature selection technique for support vector machine (SVM) classification makes use of fast Newton method that suppresses input space features for a linear programming formulation of a linear SVM classifier, or suppresses kernel functions for a linear programming formulation of a nonlinear SVM c...

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Bibliographische Detailangaben

Hauptverfasser:	Mangasarian, Olvi L, Fung, Glenn M
Format:	Patent
Sprache:	eng
Online-Zugang:	Volltext bestellen
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