Computational Methods for Support Vector Machine Classification and Large-Scale Kalman Filtering

Computational Methods for Support Vector Machine Classification and Large-Scale Kalman Filtering

The first half of this dissertation focuses on computational methods for solving the constrained quadratic program (QP) within the support vector machine (SVM) classifier. One of the SVM formulations requires the solution of bound and equality constrained QPs. We begin by describing an augmented Lag...

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Bibliographic Details
Main Author:	Howard, Marylesa
Other Authors:	Jonathan M Bardsley
Format:	Others
Language:	en
Published:	The University of Montana 2013
Subjects:	Mathematical Sciences
Online Access:	http://etd.lib.umt.edu/theses/available/etd-07022013-162755/

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